Overview

Dataset statistics

Number of variables246
Number of observations69364
Missing cells12258472
Missing cells (%)71.8%
Total size in memory128.8 MiB
Average record size in memory1.9 KiB

Variable types

Numeric194
Categorical43
Boolean3
Unsupported6

Alerts

4-fibf_1 has constant value "1.0" Constant
acetyl_1 has constant value "1.0" Constant
acetyl_2 has constant value "1.0" Constant
acetylsalicylic_1 has constant value "1.0" Constant
alcohol_1 has constant value "1.0" Constant
alcohol_2 has constant value "1.0" Constant
alprazolam_1 has constant value "1.0" Constant
alprazolam_2 has constant value "1.0" Constant
amphetamine_1 has constant value "1.0" Constant
amphetamine_2 has constant value "1.0" Constant
anpp_1 has constant value "1.0" Constant
aspirin_1 has constant value "1.0" Constant
aspirin_2 has constant value "1.0" Constant
barbiturates_1 has constant value "1.0" Constant
benzo_tag has constant value "1.0" Constant
benzodiazepine_1 has constant value "1.0" Constant
benzodiazepine_2 has constant value "1.0" Constant
buprenorphine_1 has constant value "1.0" Constant
buprenorphine_2 has constant value "1.0" Constant
butonitazene_1 has constant value "1.0" Constant
butyryl_1 has constant value "1.0" Constant
cannabis_1 has constant value "1.0" Constant
cannabis_tag has constant value "1.0" Constant
carfentanil_1 has constant value "1.0" Constant
carisoprodol_1 has constant value "1.0" Constant
chlordiazepoxide_1 has constant value "1.0" Constant
clonazepam_1 has constant value "1.0" Constant
clonazepam_2 has constant value "1.0" Constant
cocaine_1 has constant value "1.0" Constant
cocaine_2 has constant value "1.0" Constant
codeine_1 has constant value "1.0" Constant
codeine_2 has constant value "1.0" Constant
corona_1 has constant value "1.0" Constant
corona_2 has constant value "1.0" Constant
coronavirus_1 has constant value "1.0" Constant
coronavirus_2 has constant value "1.0" Constant
covid-19_1 has constant value "1.0" Constant
covid-19_2 has constant value "1.0" Constant
covid_tag has constant value "1.0" Constant
cyclobenzaprine_1 has constant value "1.0" Constant
cyclobenzaprine_2 has constant value "1.0" Constant
cyclopropyl_1 has constant value "1.0" Constant
despropionyl_1 has constant value "1.0" Constant
despropionyl_2 has constant value "1.0" Constant
dextromethorphan_1 has constant value "1.0" Constant
dextromethorphan_2 has constant value "1.0" Constant
dextrorphan_1 has constant value "1.0" Constant
diazepam_1 has constant value "1.0" Constant
diazepam_2 has constant value "1.0" Constant
dihydrocodeine_1 has constant value "1.0" Constant
drug_tag has constant value "1.0" Constant
estazolam_1 has constant value "1.0" Constant
eth_alc_tag has constant value "1.0" Constant
ethanol_1 has constant value "1.0" Constant
ethanol_2 has constant value "1.0" Constant
fen_analog_tag has constant value "1.0" Constant
fentanyl_1 has constant value "1.0" Constant
fentanyl_2 has constant value "1.0" Constant
fentanyl_tag has constant value "1.0" Constant
fibf_1 has constant value "1.0" Constant
flunitazene_1 has constant value "1.0" Constant
flurazepam_1 has constant value "1.0" Constant
furanyl_1 has constant value "1.0" Constant
furanyl_2 has constant value "1.0" Constant
hallucinogen_tag has constant value "1.0" Constant
heroin_1 has constant value "1.0" Constant
heroin_2 has constant value "1.0" Constant
hydrocodol_1 has constant value "1.0" Constant
hydrocodone_1 has constant value "1.0" Constant
hydrocodone_2 has constant value "1.0" Constant
hydromorphone_1 has constant value "1.0" Constant
hydromorphone_2 has constant value "1.0" Constant
hypoxia_tag has constant value "1.0" Constant
hypoxic_1 has constant value "1.0" Constant
hypoxic_2 has constant value "1.0" Constant
inhalant_1 has constant value "1.0" Constant
inhalant_tag has constant value "1.0" Constant
ischemic_1 has constant value "1.0" Constant
ischemic_2 has constant value "1.0" Constant
isotonitazene_1 has constant value "1.0" Constant
ketamine_1 has constant value "1.0" Constant
ketamine_2 has constant value "1.0" Constant
levorphanol_1 has constant value "1.0" Constant
lorazepam_1 has constant value "1.0" Constant
lorazepam_2 has constant value "1.0" Constant
lsd_1 has constant value "1.0" Constant
lsd_2 has constant value "1.0" Constant
lysergic_1 has constant value "1.0" Constant
lysergic_2 has constant value "1.0" Constant
mda_1 has constant value "1.0" Constant
mdma_1 has constant value "1.0" Constant
mdma_2 has constant value "1.0" Constant
meperidine_1 has constant value "1.0" Constant
metaxalone_1 has constant value "1.0" Constant
methadone_1 has constant value "1.0" Constant
methadone_2 has constant value "1.0" Constant
methamphetamine_1 has constant value "1.0" Constant
methamphetamine_2 has constant value "1.0" Constant
methocarbamol_1 has constant value "1.0" Constant
methorphan_1 has constant value "1.0" Constant
methorphan_2 has constant value "1.0" Constant
methoxyacetyl_1 has constant value "1.0" Constant
methylenedioxymethamphetamine_1 has constant value "1.0" Constant
methylenedioxymethamphetamine_2 has constant value "1.0" Constant
methylphenidate_1 has constant value "1.0" Constant
metonitazene_1 has constant value "1.0" Constant
mitragynine_1 has constant value "1.0" Constant
mitragynine_2 has constant value "1.0" Constant
morphine_1 has constant value "1.0" Constant
morphine_2 has constant value "1.0" Constant
nitazene_tag has constant value "1.0" Constant
nonfentanyl_opioid_tag has constant value "1.0" Constant
norfentanyl_1 has constant value "1.0" Constant
opiate_1 has constant value "1.0" Constant
opiate_2 has constant value "1.0" Constant
opiate_tag has constant value "1.0" Constant
opioid_1 has constant value "1.0" Constant
opioid_2 has constant value "1.0" Constant
oxazepam_1 has constant value "1.0" Constant
oxycodone_1 has constant value "1.0" Constant
oxycodone_2 has constant value "1.0" Constant
oxymorphone_1 has constant value "1.0" Constant
oxymorphone_2 has constant value "1.0" Constant
para-fluorobutyryl_1 has constant value "1.0" Constant
pcp_1 has constant value "1.0" Constant
pcp_2 has constant value "1.0" Constant
phencyclidine_1 has constant value "1.0" Constant
phencyclidine_2 has constant value "1.0" Constant
phentermine_1 has constant value "1.0" Constant
polysubstance_1 has constant value "1.0" Constant
polysubstance_2 has constant value "1.0" Constant
polysubstance_tag has constant value "1.0" Constant
propoxyphene_1 has constant value "1.0" Constant
sedative_tag has constant value "1.0" Constant
stimulant_tag has constant value "1.0" Constant
tarpentadol_1 has constant value "1.0" Constant
temazepam_1 has constant value "1.0" Constant
tizanidine_1 has constant value "1.0" Constant
topiramate_1 has constant value "1.0" Constant
topiramate_2 has constant value "1.0" Constant
toxic_tag has constant value "1.0" Constant
tramadol_1 has constant value "1.0" Constant
tramadol_2 has constant value "1.0" Constant
u-47700_1 has constant value "1.0" Constant
u-49900_1 has constant value "1.0" Constant
utonitazene_1 has constant value "1.0" Constant
valeryl_1 has constant value "1.0" Constant
xylazine_1 has constant value "1.0" Constant
xylazine_2 has constant value "1.0" Constant
CFTYPE has constant value "Park" Constant
CFSUBTYPE has constant value "Park" Constant
STATEFP_left has constant value "17.0" Constant
STATEFP_right has constant value "17.0" Constant
MTFCC has constant value "G5020" Constant
FUNCSTAT has constant value "S" Constant
__id has a high cardinality: 69359 distinct values High cardinality
casenumber has a high cardinality: 69359 distinct values High cardinality
chi_commarea has a high cardinality: 77 distinct values High cardinality
death_date has a high cardinality: 68006 distinct values High cardinality
geocoded_matched_address has a high cardinality: 5386 distinct values High cardinality
incident_city has a high cardinality: 429 distinct values High cardinality
incident_date has a high cardinality: 59289 distinct values High cardinality
incident_street has a high cardinality: 65442 distinct values High cardinality
location has a high cardinality: 48260 distinct values High cardinality
primary_cod has a high cardinality: 13692 distinct values High cardinality
primarycause has a high cardinality: 9901 distinct values High cardinality
primarycause_linea has a high cardinality: 2771 distinct values High cardinality
primarycause_lineb has a high cardinality: 399 distinct values High cardinality
residence_city has a high cardinality: 1211 distinct values High cardinality
secondarycause has a high cardinality: 10995 distinct values High cardinality
geometry has a high cardinality: 53589 distinct values High cardinality
AGENCY_DESC has a high cardinality: 155 distinct values High cardinality
MUNICIPALITY has a high cardinality: 130 distinct values High cardinality
GlobalID has a high cardinality: 156 distinct values High cardinality
pri_neigh has a high cardinality: 98 distinct values High cardinality
sec_neigh has a high cardinality: 78 distinct values High cardinality
CFNAME has a high cardinality: 89 distinct values High cardinality
ADDRESS has a high cardinality: 74 distinct values High cardinality
AFFGEOID has a high cardinality: 71 distinct values High cardinality
NAME_left has a high cardinality: 71 distinct values High cardinality
NAMELSAD has a high cardinality: 1697 distinct values High cardinality
4-fibf_1 has 69363 (> 99.9%) missing values Missing
acetyl_1 has 68340 (98.5%) missing values Missing
acetyl_2 has 69355 (> 99.9%) missing values Missing
acetylsalicylic_1 has 69362 (> 99.9%) missing values Missing
alcohol_1 has 69048 (99.5%) missing values Missing
alcohol_2 has 69293 (99.9%) missing values Missing
alprazolam_1 has 68336 (98.5%) missing values Missing
alprazolam_2 has 69350 (> 99.9%) missing values Missing
amphetamine_1 has 69158 (99.7%) missing values Missing
amphetamine_2 has 69349 (> 99.9%) missing values Missing
anpp_1 has 69362 (> 99.9%) missing values Missing
aspirin_1 has 69363 (> 99.9%) missing values Missing
aspirin_2 has 69361 (> 99.9%) missing values Missing
average_distance has 35725 (51.5%) missing values Missing
barbiturates_1 has 69360 (> 99.9%) missing values Missing
benzo_tag has 67458 (97.3%) missing values Missing
benzodiazepine_1 has 69148 (99.7%) missing values Missing
benzodiazepine_2 has 69354 (> 99.9%) missing values Missing
buprenorphine_1 has 69282 (99.9%) missing values Missing
buprenorphine_2 has 69363 (> 99.9%) missing values Missing
butonitazene_1 has 69363 (> 99.9%) missing values Missing
butyryl_1 has 69362 (> 99.9%) missing values Missing
cannabis_1 has 69363 (> 99.9%) missing values Missing
cannabis_tag has 69363 (> 99.9%) missing values Missing
carfentanil_1 has 69318 (99.9%) missing values Missing
carisoprodol_1 has 69348 (> 99.9%) missing values Missing
chi_commarea has 31019 (44.7%) missing values Missing
chi_ward has 31022 (44.7%) missing values Missing
chlordiazepoxide_1 has 69340 (> 99.9%) missing values Missing
clonazepam_1 has 68936 (99.4%) missing values Missing
clonazepam_2 has 69357 (> 99.9%) missing values Missing
closest_pharmacy_km has 2086 (3.0%) missing values Missing
cocaine_1 has 65087 (93.8%) missing values Missing
cocaine_2 has 68835 (99.2%) missing values Missing
codeine_1 has 69303 (99.9%) missing values Missing
codeine_2 has 69360 (> 99.9%) missing values Missing
commissioner_district has 8907 (12.8%) missing values Missing
corona_1 has 54943 (79.2%) missing values Missing
corona_2 has 68450 (98.7%) missing values Missing
coronavirus_1 has 69336 (> 99.9%) missing values Missing
coronavirus_2 has 69359 (> 99.9%) missing values Missing
covid-19_1 has 54919 (79.2%) missing values Missing
covid-19_2 has 68459 (98.7%) missing values Missing
covid_related has 760 (1.1%) missing values Missing
covid_tag has 53994 (77.8%) missing values Missing
cyclobenzaprine_1 has 69210 (99.8%) missing values Missing
cyclobenzaprine_2 has 69363 (> 99.9%) missing values Missing
cyclopropyl_1 has 69241 (99.8%) missing values Missing
despropionyl_1 has 65489 (94.4%) missing values Missing
despropionyl_2 has 69340 (> 99.9%) missing values Missing
dextromethorphan_1 has 69337 (> 99.9%) missing values Missing
dextromethorphan_2 has 69363 (> 99.9%) missing values Missing
dextrorphan_1 has 69363 (> 99.9%) missing values Missing
diazepam_1 has 69119 (99.6%) missing values Missing
diazepam_2 has 69363 (> 99.9%) missing values Missing
dihydrocodeine_1 has 69349 (> 99.9%) missing values Missing
drug_tag has 56854 (82.0%) missing values Missing
estazolam_1 has 69362 (> 99.9%) missing values Missing
eth_alc_tag has 65665 (94.7%) missing values Missing
ethanol_1 has 66298 (95.6%) missing values Missing
ethanol_2 has 69112 (99.6%) missing values Missing
fen_analog_tag has 64592 (93.1%) missing values Missing
fentanyl_1 has 62228 (89.7%) missing values Missing
fentanyl_2 has 69284 (99.9%) missing values Missing
fentanyl_tag has 62125 (89.6%) missing values Missing
fibf_1 has 69361 (> 99.9%) missing values Missing
flunitazene_1 has 69362 (> 99.9%) missing values Missing
flurazepam_1 has 69359 (> 99.9%) missing values Missing
furanyl_1 has 69154 (99.7%) missing values Missing
furanyl_2 has 69363 (> 99.9%) missing values Missing
geocoded_latitude has 62552 (90.2%) missing values Missing
geocoded_longitude has 62552 (90.2%) missing values Missing
geocoded_matched_address has 62552 (90.2%) missing values Missing
geocoded_score has 62552 (90.2%) missing values Missing
gunrelated has 1253 (1.8%) missing values Missing
hallucinogen_tag has 68923 (99.4%) missing values Missing
heroin_1 has 64558 (93.1%) missing values Missing
heroin_2 has 69279 (99.9%) missing values Missing
hydrocodol_1 has 69363 (> 99.9%) missing values Missing
hydrocodone_1 has 68945 (99.4%) missing values Missing
hydrocodone_2 has 69356 (> 99.9%) missing values Missing
hydromorphone_1 has 69262 (99.9%) missing values Missing
hydromorphone_2 has 69363 (> 99.9%) missing values Missing
hypoxia_tag has 67230 (96.9%) missing values Missing
hypoxic_1 has 67329 (97.1%) missing values Missing
hypoxic_2 has 69358 (> 99.9%) missing values Missing
incident_city has 1669 (2.4%) missing values Missing
incident_date has 1658 (2.4%) missing values Missing
incident_street has 991 (1.4%) missing values Missing
incident_zip has 1640 (2.4%) missing values Missing
inhalant_1 has 69362 (> 99.9%) missing values Missing
inhalant_tag has 69362 (> 99.9%) missing values Missing
ischemic_1 has 69321 (99.9%) missing values Missing
ischemic_2 has 69303 (99.9%) missing values Missing
isotonitazene_1 has 69318 (99.9%) missing values Missing
ketamine_1 has 69347 (> 99.9%) missing values Missing
ketamine_2 has 69362 (> 99.9%) missing values Missing
latitude has 8898 (12.8%) missing values Missing
levorphanol_1 has 69363 (> 99.9%) missing values Missing
location has 8898 (12.8%) missing values Missing
location_address has 69364 (100.0%) missing values Missing
location_city has 69364 (100.0%) missing values Missing
location_state has 69364 (100.0%) missing values Missing
location_zip has 69364 (100.0%) missing values Missing
longitude has 8898 (12.8%) missing values Missing
lorazepam_1 has 69218 (99.8%) missing values Missing
lorazepam_2 has 69363 (> 99.9%) missing values Missing
lsd_1 has 69359 (> 99.9%) missing values Missing
lsd_2 has 69363 (> 99.9%) missing values Missing
lysergic_1 has 69358 (> 99.9%) missing values Missing
lysergic_2 has 69363 (> 99.9%) missing values Missing
mda_1 has 69349 (> 99.9%) missing values Missing
mdma_1 has 69279 (99.9%) missing values Missing
mdma_2 has 69361 (> 99.9%) missing values Missing
meperidine_1 has 69363 (> 99.9%) missing values Missing
metaxalone_1 has 69361 (> 99.9%) missing values Missing
methadone_1 has 68634 (98.9%) missing values Missing
methadone_2 has 69337 (> 99.9%) missing values Missing
methamphetamine_1 has 69035 (99.5%) missing values Missing
methamphetamine_2 has 69339 (> 99.9%) missing values Missing
methocarbamol_1 has 69357 (> 99.9%) missing values Missing
methorphan_1 has 69352 (> 99.9%) missing values Missing
methorphan_2 has 69363 (> 99.9%) missing values Missing
methoxyacetyl_1 has 69337 (> 99.9%) missing values Missing
methylenedioxymethamphetamine_1 has 69245 (99.8%) missing values Missing
methylenedioxymethamphetamine_2 has 69358 (> 99.9%) missing values Missing
methylphenidate_1 has 69359 (> 99.9%) missing values Missing
metonitazene_1 has 69286 (99.9%) missing values Missing
mitragynine_1 has 69254 (99.8%) missing values Missing
mitragynine_2 has 69362 (> 99.9%) missing values Missing
morphine_1 has 69172 (99.7%) missing values Missing
morphine_2 has 69358 (> 99.9%) missing values Missing
nitazene_tag has 69241 (99.8%) missing values Missing
nonfentanyl_opioid_tag has 62559 (90.2%) missing values Missing
norfentanyl_1 has 69342 (> 99.9%) missing values Missing
opiate_1 has 69088 (99.6%) missing values Missing
opiate_2 has 69346 (> 99.9%) missing values Missing
opiate_tag has 59199 (85.3%) missing values Missing
opioid_1 has 68957 (99.4%) missing values Missing
opioid_2 has 69352 (> 99.9%) missing values Missing
opioids has 1253 (1.8%) missing values Missing
oxazepam_1 has 69348 (> 99.9%) missing values Missing
oxycodone_1 has 69195 (99.8%) missing values Missing
oxycodone_2 has 69356 (> 99.9%) missing values Missing
oxymorphone_1 has 69331 (> 99.9%) missing values Missing
oxymorphone_2 has 69363 (> 99.9%) missing values Missing
para-fluorobutyryl_1 has 69353 (> 99.9%) missing values Missing
pcp_1 has 69353 (> 99.9%) missing values Missing
pcp_2 has 69361 (> 99.9%) missing values Missing
phencyclidine_1 has 69108 (99.6%) missing values Missing
phencyclidine_2 has 69340 (> 99.9%) missing values Missing
phentermine_1 has 69357 (> 99.9%) missing values Missing
polysubstance_1 has 69359 (> 99.9%) missing values Missing
polysubstance_2 has 69346 (> 99.9%) missing values Missing
polysubstance_tag has 69341 (> 99.9%) missing values Missing
primary_cod has 815 (1.2%) missing values Missing
primarycause has 815 (1.2%) missing values Missing
primarycause_linea has 46770 (67.4%) missing values Missing
primarycause_lineb has 66118 (95.3%) missing values Missing
primarycause_linec has 69292 (99.9%) missing values Missing
propoxyphene_1 has 69363 (> 99.9%) missing values Missing
residence_city has 1907 (2.7%) missing values Missing
residence_zip has 1803 (2.6%) missing values Missing
secondarycause has 41490 (59.8%) missing values Missing
sedative_tag has 67199 (96.9%) missing values Missing
stimulant_tag has 64030 (92.3%) missing values Missing
tarpentadol_1 has 69363 (> 99.9%) missing values Missing
temazepam_1 has 69320 (99.9%) missing values Missing
tizanidine_1 has 69363 (> 99.9%) missing values Missing
topiramate_1 has 69322 (99.9%) missing values Missing
topiramate_2 has 69363 (> 99.9%) missing values Missing
toxic_tag has 69185 (99.7%) missing values Missing
tramadol_1 has 69036 (99.5%) missing values Missing
tramadol_2 has 69362 (> 99.9%) missing values Missing
u-47700_1 has 69321 (99.9%) missing values Missing
u-49900_1 has 69362 (> 99.9%) missing values Missing
utonitazene_1 has 69363 (> 99.9%) missing values Missing
valeryl_1 has 69346 (> 99.9%) missing values Missing
xylazine_1 has 69069 (99.6%) missing values Missing
xylazine_2 has 69360 (> 99.9%) missing values Missing
composite_latitude has 2086 (3.0%) missing values Missing
composite_longitude has 2086 (3.0%) missing values Missing
OBJECTID_left has 3864 (5.6%) missing values Missing
AGENCY has 3864 (5.6%) missing values Missing
AGENCY_DESC has 3864 (5.6%) missing values Missing
MUNICIPALITY has 4828 (7.0%) missing values Missing
COMMENTS has 68845 (99.3%) missing values Missing
SDELENGTH_SHAPE_ has 4230 (6.1%) missing values Missing
GlobalID has 3864 (5.6%) missing values Missing
created_user has 67032 (96.6%) missing values Missing
created_date has 67032 (96.6%) missing values Missing
last_edited_user has 3864 (5.6%) missing values Missing
last_edited_date has 3864 (5.6%) missing values Missing
muniCnclMmbr has 50797 (73.2%) missing values Missing
cbasOptIn has 6456 (9.3%) missing values Missing
SHAPE.STArea() has 3864 (5.6%) missing values Missing
SHAPE.STLength() has 3864 (5.6%) missing values Missing
pri_neigh has 28529 (41.1%) missing values Missing
sec_neigh has 28529 (41.1%) missing values Missing
shape_area has 28529 (41.1%) missing values Missing
shape_len has 28529 (41.1%) missing values Missing
OBJECTID_right has 69121 (99.6%) missing values Missing
CFNAME has 69121 (99.6%) missing values Missing
CFTYPE has 69121 (99.6%) missing values Missing
CFSUBTYPE has 69121 (99.6%) missing values Missing
ADDRESS has 69121 (99.6%) missing values Missing
GNISCODE has 69152 (99.7%) missing values Missing
COMMENT has 69356 (> 99.9%) missing values Missing
SOURCE has 69121 (99.6%) missing values Missing
Jurisdiction has 69142 (99.7%) missing values Missing
Community has 69121 (99.6%) missing values Missing
STATEFP_left has 2267 (3.3%) missing values Missing
COUNTYFP_left has 2267 (3.3%) missing values Missing
COUSUBFP has 2267 (3.3%) missing values Missing
COUSUBNS has 2267 (3.3%) missing values Missing
AFFGEOID has 2267 (3.3%) missing values Missing
GEOID_left has 2267 (3.3%) missing values Missing
NAME_left has 2267 (3.3%) missing values Missing
LSAD has 2267 (3.3%) missing values Missing
ALAND_left has 2267 (3.3%) missing values Missing
AWATER_left has 2267 (3.3%) missing values Missing
STATEFP_right has 2217 (3.2%) missing values Missing
COUNTYFP_right has 2217 (3.2%) missing values Missing
TRACTCE has 2217 (3.2%) missing values Missing
GEOID_right has 2217 (3.2%) missing values Missing
NAME_right has 2217 (3.2%) missing values Missing
NAMELSAD has 2217 (3.2%) missing values Missing
MTFCC has 2217 (3.2%) missing values Missing
FUNCSTAT has 2217 (3.2%) missing values Missing
ALAND_right has 2217 (3.2%) missing values Missing
AWATER_right has 2217 (3.2%) missing values Missing
INTPTLAT has 2217 (3.2%) missing values Missing
INTPTLON has 2217 (3.2%) missing values Missing
incident_zip is an unsupported type, check if it needs cleaning or further analysis Unsupported
location_address is an unsupported type, check if it needs cleaning or further analysis Unsupported
location_city is an unsupported type, check if it needs cleaning or further analysis Unsupported
location_state is an unsupported type, check if it needs cleaning or further analysis Unsupported
location_zip is an unsupported type, check if it needs cleaning or further analysis Unsupported
residence_zip is an unsupported type, check if it needs cleaning or further analysis Unsupported
covid_related has 53244 (76.8%) zeros Zeros
gunrelated has 60882 (87.8%) zeros Zeros
opioids has 57658 (83.1%) zeros Zeros
AWATER_left has 4264 (6.1%) zeros Zeros
AWATER_right has 52387 (75.5%) zeros Zeros

Reproduction

Analysis started2022-09-15 20:12:32.321474
Analysis finished2022-09-15 20:12:34.112877
Duration1.79 second
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

4-fibf_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.253333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:34.286084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

CaseIdentifier
Real number (ℝ≥0)

Distinct69359
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34678.3052
Minimum0
Maximum69358
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.329696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3468.15
Q117337.75
median34677.5
Q352018.25
95-th percentile65890.85
Maximum69358
Range69358
Interquartile range (IQR)34680.5

Descriptive statistics

Standard deviation20022.74649
Coefficient of variation (CV)0.577385382
Kurtosis-1.200044026
Mean34678.3052
Median Absolute Deviation (MAD)17340.5
Skewness6.073268421 × 10-5
Sum2405425962
Variance400910377.2
MonotonicityIncreasing
2022-09-15T16:12:34.373277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97752
 
< 0.1%
333552
 
< 0.1%
662142
 
< 0.1%
112552
 
< 0.1%
46022
 
< 0.1%
01
 
< 0.1%
462381
 
< 0.1%
462431
 
< 0.1%
462421
 
< 0.1%
462411
 
< 0.1%
Other values (69349)69349
> 99.9%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
ValueCountFrequency (%)
693581
< 0.1%
693571
< 0.1%
693561
< 0.1%
693551
< 0.1%
693541
< 0.1%

__id
Categorical

HIGH CARDINALITY

Distinct69359
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size542.0 KiB
row-88g6~shjg-2xcf
 
2
row-dyc9.77ng.h94y
 
2
row-fwej-nczs_efs3
 
2
row-h54j-qtfs.krz7
 
2
row-ypv3.djjr~8nt5
 
2
Other values (69354)
69354 

Unique

Unique69354 ?
Unique (%)> 99.9%

Sample

1st rowrow-zqhu_7sdq~t9fr
2nd rowrow-4vi5~7kpn-2xnv
3rd rowrow-59mk_c9af~xd4h
4th rowrow-m25n_de74~ef7e
5th rowrow-d5g9~u8t6.hq5i

Common Values

ValueCountFrequency (%)
row-88g6~shjg-2xcf2
 
< 0.1%
row-dyc9.77ng.h94y2
 
< 0.1%
row-fwej-nczs_efs32
 
< 0.1%
row-h54j-qtfs.krz72
 
< 0.1%
row-ypv3.djjr~8nt52
 
< 0.1%
row-zqhu_7sdq~t9fr1
 
< 0.1%
row-ztbv_dp9z~ibm61
 
< 0.1%
row-wwcx.5e2r.jghk1
 
< 0.1%
row-iuxx.ivup~re5i1
 
< 0.1%
row-y259.bmuw-xvhd1
 
< 0.1%
Other values (69349)69349
> 99.9%

acetyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing68340
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.414699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1024
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.455448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11024
 
1.5%
(Missing)68340
98.5%
ValueCountFrequency (%)
11024
1.5%
ValueCountFrequency (%)
11024
1.5%

acetyl_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)11.1%
Missing69355
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.515609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum9
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.541677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
19
 
< 0.1%
(Missing)69355
> 99.9%
ValueCountFrequency (%)
19
< 0.1%
ValueCountFrequency (%)
19
< 0.1%

acetylsalicylic_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.568962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.596591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

age
Real number (ℝ≥0)

Distinct110
Distinct (%)0.2%
Missing374
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean56.27506885
Minimum0
Maximum109
Zeros680
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.633907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q141
median58
Q372
95-th percentile90
Maximum109
Range109
Interquartile range (IQR)31

Descriptive statistics

Standard deviation21.43648852
Coefficient of variation (CV)0.3809233638
Kurtosis-0.5366261818
Mean56.27506885
Median Absolute Deviation (MAD)15
Skewness-0.2454956271
Sum3882417
Variance459.5230402
MonotonicityNot monotonic
2022-09-15T16:12:34.675255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
581458
 
2.1%
591436
 
2.1%
601390
 
2.0%
611389
 
2.0%
621386
 
2.0%
571348
 
1.9%
631346
 
1.9%
641343
 
1.9%
561313
 
1.9%
651290
 
1.9%
Other values (100)55291
79.7%
ValueCountFrequency (%)
0680
1.0%
176
 
0.1%
269
 
0.1%
348
 
0.1%
430
 
< 0.1%
ValueCountFrequency (%)
1091
 
< 0.1%
1081
 
< 0.1%
1071
 
< 0.1%
1064
< 0.1%
1058
< 0.1%

alcohol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing69048
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.706240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum316
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.732770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1316
 
0.5%
(Missing)69048
99.5%
ValueCountFrequency (%)
1316
0.5%
ValueCountFrequency (%)
1316
0.5%

alcohol_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.4%
Missing69293
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.758541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum71
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.785481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
171
 
0.1%
(Missing)69293
99.9%
ValueCountFrequency (%)
171
0.1%
ValueCountFrequency (%)
171
0.1%

alprazolam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing68336
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.811827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1028
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.837564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11028
 
1.5%
(Missing)68336
98.5%
ValueCountFrequency (%)
11028
1.5%
ValueCountFrequency (%)
11028
1.5%

alprazolam_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing69350
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.863928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.890189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
114
 
< 0.1%
(Missing)69350
> 99.9%
ValueCountFrequency (%)
114
< 0.1%
ValueCountFrequency (%)
114
< 0.1%

amphetamine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing69158
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:34.916361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum206
Variance0
MonotonicityIncreasing
2022-09-15T16:12:34.978778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1206
 
0.3%
(Missing)69158
99.7%
ValueCountFrequency (%)
1206
0.3%
ValueCountFrequency (%)
1206
0.3%

amphetamine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.7%
Missing69349
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.004978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum15
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.032679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
115
 
< 0.1%
(Missing)69349
> 99.9%
ValueCountFrequency (%)
115
< 0.1%
ValueCountFrequency (%)
115
< 0.1%

anpp_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.059819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.087071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

aspirin_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.113839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:35.139496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

aspirin_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)33.3%
Missing69361
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.165349image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.191477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13
 
< 0.1%
(Missing)69361
> 99.9%
ValueCountFrequency (%)
13
< 0.1%
ValueCountFrequency (%)
13
< 0.1%

average_distance
Real number (ℝ≥0)

MISSING

Distinct3869
Distinct (%)11.5%
Missing35725
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean21.957557
Minimum9.33
Maximum66.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.226830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9.33
5-th percentile13.52
Q116.18
median19.18
Q324.82
95-th percentile40.65
Maximum66.65
Range57.32
Interquartile range (IQR)8.64

Descriptive statistics

Standard deviation8.346433195
Coefficient of variation (CV)0.3801166584
Kurtosis1.874096688
Mean21.957557
Median Absolute Deviation (MAD)3.56
Skewness1.47945654
Sum738630.26
Variance69.66294708
MonotonicityNot monotonic
2022-09-15T16:12:35.264918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.7361
 
0.1%
16.8760
 
0.1%
15.8759
 
0.1%
15.9758
 
0.1%
15.7755
 
0.1%
15.3753
 
0.1%
15.5453
 
0.1%
16.153
 
0.1%
15.1252
 
0.1%
15.4152
 
0.1%
Other values (3859)33083
47.7%
(Missing)35725
51.5%
ValueCountFrequency (%)
9.331
< 0.1%
9.591
< 0.1%
9.651
< 0.1%
9.821
< 0.1%
9.861
< 0.1%
ValueCountFrequency (%)
66.651
< 0.1%
64.911
< 0.1%
64.61
< 0.1%
64.492
< 0.1%
63.921
< 0.1%

barbiturates_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)25.0%
Missing69360
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.294574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.321767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14
 
< 0.1%
(Missing)69360
> 99.9%
ValueCountFrequency (%)
14
< 0.1%
ValueCountFrequency (%)
14
< 0.1%

benzo_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing67458
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.349005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1906
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.375673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11906
 
2.7%
(Missing)67458
97.3%
ValueCountFrequency (%)
11906
2.7%
ValueCountFrequency (%)
11906
2.7%

benzodiazepine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing69148
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.401485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum216
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.426693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1216
 
0.3%
(Missing)69148
99.7%
ValueCountFrequency (%)
1216
0.3%
ValueCountFrequency (%)
1216
0.3%

benzodiazepine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)10.0%
Missing69354
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.452076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum10
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.477341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
110
 
< 0.1%
(Missing)69354
> 99.9%
ValueCountFrequency (%)
110
< 0.1%
ValueCountFrequency (%)
110
< 0.1%

buprenorphine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.2%
Missing69282
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.549450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum82
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.576405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
182
 
0.1%
(Missing)69282
99.9%
ValueCountFrequency (%)
182
0.1%
ValueCountFrequency (%)
182
0.1%

buprenorphine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.602695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:35.628567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

butonitazene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.654055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:35.679520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

butyryl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.705032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.732123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

cannabis_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.759120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:35.784604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

cannabis_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.809537image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:35.835590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

carfentanil_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.2%
Missing69318
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.861240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.886295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
146
 
0.1%
(Missing)69318
99.9%
ValueCountFrequency (%)
146
0.1%
ValueCountFrequency (%)
146
0.1%

carisoprodol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.2%
Missing69348
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.911686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum16
Variance0
MonotonicityIncreasing
2022-09-15T16:12:35.939591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
116
 
< 0.1%
(Missing)69348
> 99.9%
ValueCountFrequency (%)
116
< 0.1%
ValueCountFrequency (%)
116
< 0.1%

casenumber
Categorical

HIGH CARDINALITY

Distinct69359
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size542.0 KiB
ME2015-01776
 
2
ME2020-00579
 
2
ME2022-04788
 
2
ME2014-01333
 
2
ME2016-01508
 
2
Other values (69354)
69354 

Unique

Unique69354 ?
Unique (%)> 99.9%

Sample

1st rowME2020-05711
2nd rowME2021-03779
3rd rowME2014-00627
4th rowME2014-00649
5th rowME2014-00712

Common Values

ValueCountFrequency (%)
ME2015-017762
 
< 0.1%
ME2020-005792
 
< 0.1%
ME2022-047882
 
< 0.1%
ME2014-013332
 
< 0.1%
ME2016-015082
 
< 0.1%
ME2020-057111
 
< 0.1%
ME2020-134911
 
< 0.1%
ME2020-134691
 
< 0.1%
ME2020-134781
 
< 0.1%
ME2020-134731
 
< 0.1%
Other values (69349)69349
> 99.9%

chi_commarea
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)0.2%
Missing31019
Missing (%)44.7%
Memory size542.0 KiB
AUSTIN
 
2417
SOUTH SHORE
 
1336
HUMBOLDT PARK
 
1213
NORTH LAWNDALE
 
1133
ROSELAND
 
1055
Other values (72)
31191 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNEAR NORTH SIDE
2nd rowAUBURN GRESHAM
3rd rowWEST PULLMAN
4th rowCHICAGO LAWN
5th rowWEST ENGLEWOOD

Common Values

ValueCountFrequency (%)
AUSTIN2417
 
3.5%
SOUTH SHORE1336
 
1.9%
HUMBOLDT PARK1213
 
1.7%
NORTH LAWNDALE1133
 
1.6%
ROSELAND1055
 
1.5%
AUBURN GRESHAM1011
 
1.5%
NEAR NORTH SIDE985
 
1.4%
UPTOWN969
 
1.4%
SOUTH LAWNDALE931
 
1.3%
WEST GARFIELD PARK925
 
1.3%
Other values (67)26370
38.0%
(Missing)31019
44.7%

chi_ward
Real number (ℝ≥0)

MISSING

Distinct50
Distinct (%)0.1%
Missing31022
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean23.99590527
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:35.976223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q112
median24
Q335
95-th percentile48
Maximum50
Range49
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.86175899
Coefficient of variation (CV)0.5776718499
Kurtosis-1.061366124
Mean23.99590527
Median Absolute Deviation (MAD)12
Skewness0.1348635918
Sum920051
Variance192.1483623
MonotonicityNot monotonic
2022-09-15T16:12:36.019629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
281935
 
2.8%
271531
 
2.2%
241509
 
2.2%
371281
 
1.8%
61223
 
1.8%
71195
 
1.7%
81171
 
1.7%
161117
 
1.6%
341108
 
1.6%
201104
 
1.6%
Other values (40)25168
36.3%
(Missing)31022
44.7%
ValueCountFrequency (%)
1482
0.7%
2558
0.8%
31038
1.5%
4790
1.1%
5877
1.3%
ValueCountFrequency (%)
50518
0.7%
49749
1.1%
48849
1.2%
47365
0.5%
46757
1.1%

chlordiazepoxide_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing69340
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.050852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum24
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.075847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
124
 
< 0.1%
(Missing)69340
> 99.9%
ValueCountFrequency (%)
124
< 0.1%
ValueCountFrequency (%)
124
< 0.1%

clonazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing68936
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.101763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum428
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.128661image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1428
 
0.6%
(Missing)68936
99.4%
ValueCountFrequency (%)
1428
0.6%
ValueCountFrequency (%)
1428
0.6%

clonazepam_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)14.3%
Missing69357
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.155145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum7
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.181491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
17
 
< 0.1%
(Missing)69357
> 99.9%
ValueCountFrequency (%)
17
< 0.1%
ValueCountFrequency (%)
17
< 0.1%

closest_pharmacy_km
Real number (ℝ≥0)

MISSING

Distinct957
Distinct (%)1.4%
Missing2086
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean0.7329734832
Minimum0
Maximum33.46
Zeros132
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.280587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.28
median0.49
Q30.8
95-th percentile1.78
Maximum33.46
Range33.46
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation1.244785959
Coefficient of variation (CV)1.698268747
Kurtosis162.19323
Mean0.7329734832
Median Absolute Deviation (MAD)0.25
Skewness10.30101638
Sum49312.99
Variance1.549492083
MonotonicityNot monotonic
2022-09-15T16:12:36.320960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23887
 
1.3%
0.35884
 
1.3%
0.25869
 
1.3%
0.27863
 
1.2%
0.39853
 
1.2%
0.24844
 
1.2%
0.36837
 
1.2%
0.29835
 
1.2%
0.38834
 
1.2%
0.31834
 
1.2%
Other values (947)58738
84.7%
(Missing)2086
 
3.0%
ValueCountFrequency (%)
0132
0.2%
0.01148
0.2%
0.02167
0.2%
0.03191
0.3%
0.04318
0.5%
ValueCountFrequency (%)
33.461
 
< 0.1%
31.91
 
< 0.1%
30.98
< 0.1%
29.911
 
< 0.1%
29.761
 
< 0.1%

cocaine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing65087
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.352281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4277
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.379546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14277
 
6.2%
(Missing)65087
93.8%
ValueCountFrequency (%)
14277
6.2%
ValueCountFrequency (%)
14277
6.2%

cocaine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing68835
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.405986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum529
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.432772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1529
 
0.8%
(Missing)68835
99.2%
ValueCountFrequency (%)
1529
0.8%
ValueCountFrequency (%)
1529
0.8%

codeine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.6%
Missing69303
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.459085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum61
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.485484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
161
 
0.1%
(Missing)69303
99.9%
ValueCountFrequency (%)
161
0.1%
ValueCountFrequency (%)
161
0.1%

codeine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)25.0%
Missing69360
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.511537image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.539382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14
 
< 0.1%
(Missing)69360
> 99.9%
ValueCountFrequency (%)
14
< 0.1%
ValueCountFrequency (%)
14
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
False
68906 
True
 
458
ValueCountFrequency (%)
False68906
99.3%
True458
 
0.7%
2022-09-15T16:12:36.575820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

commissioner_district
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)< 0.1%
Missing8907
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean7.493044643
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.600816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q311
95-th percentile16
Maximum17
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.969650056
Coefficient of variation (CV)0.6632350791
Kurtosis-1.098417639
Mean7.493044643
Median Absolute Deviation (MAD)4
Skewness0.3914390558
Sum453007
Variance24.69742168
MonotonicityNot monotonic
2022-09-15T16:12:36.633258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
26691
 
9.6%
15811
 
8.4%
35059
 
7.3%
54658
 
6.7%
44590
 
6.6%
113379
 
4.9%
103304
 
4.8%
73065
 
4.4%
63062
 
4.4%
82971
 
4.3%
Other values (7)17867
25.8%
(Missing)8907
12.8%
ValueCountFrequency (%)
15811
8.4%
26691
9.6%
35059
7.3%
44590
6.6%
54658
6.7%
ValueCountFrequency (%)
172686
3.9%
162742
4.0%
151996
2.9%
142135
3.1%
132748
4.0%

corona_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing54943
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.662511image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum14421
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.689203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
114421
 
20.8%
(Missing)54943
79.2%
ValueCountFrequency (%)
114421
20.8%
ValueCountFrequency (%)
114421
20.8%

corona_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing68450
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.715928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum914
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.742398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1914
 
1.3%
(Missing)68450
98.7%
ValueCountFrequency (%)
1914
1.3%
ValueCountFrequency (%)
1914
1.3%

coronavirus_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.6%
Missing69336
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.768137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum28
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.793816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
128
 
< 0.1%
(Missing)69336
> 99.9%
ValueCountFrequency (%)
128
< 0.1%
ValueCountFrequency (%)
128
< 0.1%

coronavirus_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)20.0%
Missing69359
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.818670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.845473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15
 
< 0.1%
(Missing)69359
> 99.9%
ValueCountFrequency (%)
15
< 0.1%
ValueCountFrequency (%)
15
< 0.1%

covid-19_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing54919
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.871289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum14445
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.897429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
114445
 
20.8%
(Missing)54919
79.2%
ValueCountFrequency (%)
114445
20.8%
ValueCountFrequency (%)
114445
20.8%

covid-19_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing68459
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.922978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum905
Variance0
MonotonicityIncreasing
2022-09-15T16:12:36.949507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1905
 
1.3%
(Missing)68459
98.7%
ValueCountFrequency (%)
1905
1.3%
ValueCountFrequency (%)
1905
1.3%

covid_related
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing760
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2238936505
Minimum0
Maximum1
Zeros53244
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:36.975359image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4168546709
Coefficient of variation (CV)1.861842308
Kurtosis-0.2450409422
Mean0.2238936505
Median Absolute Deviation (MAD)0
Skewness1.324751374
Sum15360
Variance0.1737678167
MonotonicityNot monotonic
2022-09-15T16:12:37.002920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
053244
76.8%
115360
 
22.1%
(Missing)760
 
1.1%
ValueCountFrequency (%)
053244
76.8%
115360
 
22.1%
ValueCountFrequency (%)
115360
 
22.1%
053244
76.8%

covid_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing53994
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.030161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum15370
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.057280image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
115370
 
22.2%
(Missing)53994
77.8%
ValueCountFrequency (%)
115370
22.2%
ValueCountFrequency (%)
115370
22.2%

cyclobenzaprine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing69210
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.083691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum154
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.194775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1154
 
0.2%
(Missing)69210
99.8%
ValueCountFrequency (%)
1154
0.2%
ValueCountFrequency (%)
1154
0.2%

cyclobenzaprine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.220671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:37.246692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

cyclopropyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.8%
Missing69241
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.272752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum123
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.298445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1123
 
0.2%
(Missing)69241
99.8%
ValueCountFrequency (%)
1123
0.2%
ValueCountFrequency (%)
1123
0.2%

death_date
Categorical

HIGH CARDINALITY

Distinct68006
Distinct (%)98.1%
Missing61
Missing (%)0.1%
Memory size542.0 KiB
2018-08-26T04:09:00.000
 
7
2016-02-04T13:53:00.000
 
6
2019-04-19T10:45:00.000
 
5
2017-03-30T16:32:00.000
 
4
2022-01-18T14:15:00.000
 
4
Other values (68001)
69277 

Unique

Unique66771 ?
Unique (%)96.3%

Sample

1st row2020-05-15T22:52:00.000
2nd row2021-04-09T15:55:00.000
3rd row2014-09-21T13:50:00.000
4th row2014-09-22T16:55:00.000
5th row2014-09-27T17:10:00.000

Common Values

ValueCountFrequency (%)
2018-08-26T04:09:00.0007
 
< 0.1%
2016-02-04T13:53:00.0006
 
< 0.1%
2019-04-19T10:45:00.0005
 
< 0.1%
2017-03-30T16:32:00.0004
 
< 0.1%
2022-01-18T14:15:00.0004
 
< 0.1%
2022-03-09T02:22:00.0004
 
< 0.1%
2020-12-22T15:40:00.0003
 
< 0.1%
2017-08-01T00:00:00.0003
 
< 0.1%
2020-05-10T22:24:00.0003
 
< 0.1%
2020-05-23T03:10:00.0003
 
< 0.1%
Other values (67996)69261
99.9%
(Missing)61
 
0.1%

despropionyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing65489
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.326002image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3875
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.353497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13875
 
5.6%
(Missing)65489
94.4%
ValueCountFrequency (%)
13875
5.6%
ValueCountFrequency (%)
13875
5.6%

despropionyl_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing69340
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.380948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum24
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.406460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
124
 
< 0.1%
(Missing)69340
> 99.9%
ValueCountFrequency (%)
124
< 0.1%
ValueCountFrequency (%)
124
< 0.1%

dextromethorphan_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.7%
Missing69337
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.431928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum27
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.458091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
127
 
< 0.1%
(Missing)69337
> 99.9%
ValueCountFrequency (%)
127
< 0.1%
ValueCountFrequency (%)
127
< 0.1%

dextromethorphan_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.485451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:37.511650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

dextrorphan_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.536994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:37.564006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

diazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69119
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.589608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum245
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.614904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1245
 
0.4%
(Missing)69119
99.6%
ValueCountFrequency (%)
1245
0.4%
ValueCountFrequency (%)
1245
0.4%

diazepam_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.640975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:37.667666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

dihydrocodeine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.7%
Missing69349
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.693751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum15
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.720319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
115
 
< 0.1%
(Missing)69349
> 99.9%
ValueCountFrequency (%)
115
< 0.1%
ValueCountFrequency (%)
115
< 0.1%

drug_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing56854
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.749586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum12510
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.775808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
112510
 
18.0%
(Missing)56854
82.0%
ValueCountFrequency (%)
112510
18.0%
ValueCountFrequency (%)
112510
18.0%

estazolam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.801724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.828323image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

eth_alc_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing65665
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.855617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3699
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.883103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13699
 
5.3%
(Missing)65665
94.7%
ValueCountFrequency (%)
13699
5.3%
ValueCountFrequency (%)
13699
5.3%

ethanol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing66298
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.909410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3066
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.935919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13066
 
4.4%
(Missing)66298
95.6%
ValueCountFrequency (%)
13066
4.4%
ValueCountFrequency (%)
13066
4.4%

ethanol_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69112
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:37.962438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum252
Variance0
MonotonicityIncreasing
2022-09-15T16:12:37.988838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1252
 
0.4%
(Missing)69112
99.6%
ValueCountFrequency (%)
1252
0.4%
ValueCountFrequency (%)
1252
0.4%

fen_analog_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing64592
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.014603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4772
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.040076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14772
 
6.9%
(Missing)64592
93.1%
ValueCountFrequency (%)
14772
6.9%
ValueCountFrequency (%)
14772
6.9%

fentanyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing62228
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.066110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum7136
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.092909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
17136
 
10.3%
(Missing)62228
89.7%
ValueCountFrequency (%)
17136
10.3%
ValueCountFrequency (%)
17136
10.3%

fentanyl_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.2%
Missing69284
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.121604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum80
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.148783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
180
 
0.1%
(Missing)69284
99.9%
ValueCountFrequency (%)
180
0.1%
ValueCountFrequency (%)
180
0.1%

fentanyl_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing62125
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.175166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum7239
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.201695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
17239
 
10.4%
(Missing)62125
89.6%
ValueCountFrequency (%)
17239
10.4%
ValueCountFrequency (%)
17239
10.4%

fibf_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)33.3%
Missing69361
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.227670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.364523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13
 
< 0.1%
(Missing)69361
> 99.9%
ValueCountFrequency (%)
13
< 0.1%
ValueCountFrequency (%)
13
< 0.1%

flunitazene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.390662image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.417590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

flurazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)20.0%
Missing69359
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.444587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.470309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15
 
< 0.1%
(Missing)69359
> 99.9%
ValueCountFrequency (%)
15
< 0.1%
ValueCountFrequency (%)
15
< 0.1%

furanyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing69154
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.496878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum210
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.523679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1210
 
0.3%
(Missing)69154
99.7%
ValueCountFrequency (%)
1210
0.3%
ValueCountFrequency (%)
1210
0.3%

furanyl_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.549872image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:38.575510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

gender
Categorical

Distinct3
Distinct (%)< 0.1%
Missing250
Missing (%)0.4%
Memory size542.0 KiB
Male
47769 
Female
21306 
Unknown
 
39

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemale
2nd rowFemale
3rd rowMale
4th rowMale
5th rowMale

Common Values

ValueCountFrequency (%)
Male47769
68.9%
Female21306
30.7%
Unknown39
 
0.1%
(Missing)250
 
0.4%

Category Frequency Plot

2022-09-15T16:12:38.607086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

geocoded_latitude
Real number (ℝ≥0)

MISSING

Distinct5307
Distinct (%)77.9%
Missing62552
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean41.83288313
Minimum41.40003502
Maximum42.19982043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.642072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum41.40003502
5-th percentile41.49718503
Q141.70275243
median41.85758976
Q341.97589751
95-th percentile42.14228965
Maximum42.19982043
Range0.7997854034
Interquartile range (IQR)0.2731450787

Descriptive statistics

Standard deviation0.1888255425
Coefficient of variation (CV)0.004513806566
Kurtosis-0.6474869922
Mean41.83288313
Median Absolute Deviation (MAD)0.1309552726
Skewness-0.2684868249
Sum284965.5999
Variance0.03565508551
MonotonicityNot monotonic
2022-09-15T16:12:38.685093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.997574744
 
0.1%
41.9785707734
 
< 0.1%
42.1621701619
 
< 0.1%
42.1675916217
 
< 0.1%
41.4030113214
 
< 0.1%
42.1852000514
 
< 0.1%
42.0389944913
 
< 0.1%
41.8078119612
 
< 0.1%
42.1558059112
 
< 0.1%
42.1672036211
 
< 0.1%
Other values (5297)6622
 
9.5%
(Missing)62552
90.2%
ValueCountFrequency (%)
41.400035022
 
< 0.1%
41.401155013
 
< 0.1%
41.40276911
 
< 0.1%
41.4030113214
< 0.1%
41.404675271
 
< 0.1%
ValueCountFrequency (%)
42.199820431
< 0.1%
42.199799081
< 0.1%
42.199537271
< 0.1%
42.199110971
< 0.1%
42.198984991
< 0.1%

geocoded_longitude
Real number (ℝ)

MISSING

Distinct5308
Distinct (%)77.9%
Missing62552
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean-87.80381554
Minimum-88.29986998
Maximum-87.50000326
Zeros0
Zeros (%)0.0%
Negative6812
Negative (%)9.8%
Memory size542.0 KiB
2022-09-15T16:12:38.726401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-88.29986998
5-th percentile-88.17133703
Q1-87.9153888
median-87.76002242
Q3-87.65642886
95-th percentile-87.579609
Maximum-87.50000326
Range0.7998667206
Interquartile range (IQR)0.2589599359

Descriptive statistics

Standard deviation0.1849161877
Coefficient of variation (CV)-0.0021060154
Kurtosis-0.107372838
Mean-87.80381554
Median Absolute Deviation (MAD)0.1207186003
Skewness-0.7942365637
Sum-598119.5915
Variance0.03419399649
MonotonicityNot monotonic
2022-09-15T16:12:38.768460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.887646444
 
0.1%
-87.8802495734
 
< 0.1%
-87.9862739619
 
< 0.1%
-88.0206397617
 
< 0.1%
-87.8226149114
 
< 0.1%
-87.6270217914
 
< 0.1%
-87.8833069713
 
< 0.1%
-87.6162973412
 
< 0.1%
-87.9562284412
 
< 0.1%
-87.58037511
 
< 0.1%
Other values (5298)6622
 
9.5%
(Missing)62552
90.2%
ValueCountFrequency (%)
-88.299869981
 
< 0.1%
-88.299814951
 
< 0.1%
-88.299664951
 
< 0.1%
-88.29954491
 
< 0.1%
-88.299369815
< 0.1%
ValueCountFrequency (%)
-87.500003261
< 0.1%
-87.500029951
< 0.1%
-87.500050311
< 0.1%
-87.500079971
< 0.1%
-87.500114941
< 0.1%

geocoded_matched_address
Categorical

HIGH CARDINALITY
MISSING

Distinct5386
Distinct (%)79.1%
Missing62552
Missing (%)90.2%
Memory size542.0 KiB
60666, Chicago, Illinois
 
44
10000 W O'Hare Ave, Chicago, Illinois, 60666
 
34
1666 Checker Rd, Lake Zurich, Illinois, 60047
 
19
2308 Old Hicks Rd, Lake Zurich, Illinois, 60047
 
17
60401, Beecher, Illinois
 
14
Other values (5381)
6684 

Unique

Unique4744 ?
Unique (%)69.6%

Sample

1st row10000 W O'Hare Ave, Chicago, Illinois, 60666
2nd row424 S Hebbard St, Joliet, Illinois, 60433
3rd row2113 W 18th Pl, Chicago, Illinois, 60608
4th row6826 S Anthony Ave, Chicago, Illinois, 60637
5th row1401 W 80th St, #3, Chicago, Illinois, 60620

Common Values

ValueCountFrequency (%)
60666, Chicago, Illinois44
 
0.1%
10000 W O'Hare Ave, Chicago, Illinois, 6066634
 
< 0.1%
1666 Checker Rd, Lake Zurich, Illinois, 6004719
 
< 0.1%
2308 Old Hicks Rd, Lake Zurich, Illinois, 6004717
 
< 0.1%
60401, Beecher, Illinois14
 
< 0.1%
Skokie Valley Rd, Highland Park, Illinois, 6003514
 
< 0.1%
150 Weiland Rd, Buffalo Grove, Illinois, 6008912
 
< 0.1%
3705 Deerfield Rd, Deerfield, Illinois, 6001511
 
< 0.1%
300 N River Rd, Des Plaines, Illinois, 6001611
 
< 0.1%
60617, Chicago, Illinois11
 
< 0.1%
Other values (5376)6625
 
9.6%
(Missing)62552
90.2%

geocoded_score
Real number (ℝ≥0)

MISSING

Distinct1610
Distinct (%)23.6%
Missing62552
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean92.48754257
Minimum70
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.810147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile77
Q187.5375
median95.63
Q399.3075
95-th percentile100
Maximum100
Range30
Interquartile range (IQR)11.77

Descriptive statistics

Standard deviation7.943542301
Coefficient of variation (CV)0.0858876999
Kurtosis-0.3097496106
Mean92.48754257
Median Absolute Deviation (MAD)4.37
Skewness-0.9538108115
Sum630025.14
Variance63.09986429
MonotonicityNot monotonic
2022-09-15T16:12:38.851327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001450
 
2.1%
77265
 
0.4%
98.5379
 
0.1%
99.4362
 
0.1%
8051
 
0.1%
98.951
 
0.1%
98.5151
 
0.1%
99.545
 
0.1%
97.5944
 
0.1%
96.3228
 
< 0.1%
Other values (1600)4686
 
6.8%
(Missing)62552
90.2%
ValueCountFrequency (%)
705
< 0.1%
70.031
 
< 0.1%
70.072
 
< 0.1%
70.083
< 0.1%
70.141
 
< 0.1%
ValueCountFrequency (%)
1001450
2.1%
99.9910
 
< 0.1%
99.982
 
< 0.1%
99.931
 
< 0.1%
99.911
 
< 0.1%

gunrelated
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing1253
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1061355728
Minimum0
Maximum1
Zeros60882
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.882874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.308013321
Coefficient of variation (CV)2.902074326
Kurtosis4.541071072
Mean0.1061355728
Median Absolute Deviation (MAD)0
Skewness2.557525705
Sum7229
Variance0.0948722059
MonotonicityNot monotonic
2022-09-15T16:12:38.910606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
060882
87.8%
17229
 
10.4%
(Missing)1253
 
1.8%
ValueCountFrequency (%)
060882
87.8%
17229
 
10.4%
ValueCountFrequency (%)
17229
 
10.4%
060882
87.8%

hallucinogen_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing68923
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:38.936956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum441
Variance0
MonotonicityIncreasing
2022-09-15T16:12:38.961971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1441
 
0.6%
(Missing)68923
99.4%
ValueCountFrequency (%)
1441
0.6%
ValueCountFrequency (%)
1441
0.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
False
69329 
True
 
35
ValueCountFrequency (%)
False69329
99.9%
True35
 
0.1%
2022-09-15T16:12:38.992059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

heroin_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing64558
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.015997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4806
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.042628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14806
 
6.9%
(Missing)64558
93.1%
ValueCountFrequency (%)
14806
6.9%
ValueCountFrequency (%)
14806
6.9%

heroin_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.2%
Missing69279
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.068461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum85
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.095431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
185
 
0.1%
(Missing)69279
99.9%
ValueCountFrequency (%)
185
0.1%
ValueCountFrequency (%)
185
0.1%

hydrocodol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.121690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:39.148214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

hydrocodone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing68945
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.174567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum419
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.201909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1419
 
0.6%
(Missing)68945
99.4%
ValueCountFrequency (%)
1419
0.6%
ValueCountFrequency (%)
1419
0.6%

hydrocodone_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)12.5%
Missing69356
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.228303image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum8
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.255328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
18
 
< 0.1%
(Missing)69356
> 99.9%
ValueCountFrequency (%)
18
< 0.1%
ValueCountFrequency (%)
18
< 0.1%

hydromorphone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.0%
Missing69262
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.281309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum102
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.306711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1102
 
0.1%
(Missing)69262
99.9%
ValueCountFrequency (%)
1102
0.1%
ValueCountFrequency (%)
1102
0.1%

hydromorphone_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.334084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:39.359790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

hypoxia_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing67230
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.386252image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum2134
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.413695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12134
 
3.1%
(Missing)67230
96.9%
ValueCountFrequency (%)
12134
3.1%
ValueCountFrequency (%)
12134
3.1%

hypoxic_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing67329
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.439894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum2035
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.468053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12035
 
2.9%
(Missing)67329
97.1%
ValueCountFrequency (%)
12035
2.9%
ValueCountFrequency (%)
12035
2.9%

hypoxic_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)16.7%
Missing69358
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.494809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.520161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
16
 
< 0.1%
(Missing)69358
> 99.9%
ValueCountFrequency (%)
16
< 0.1%
ValueCountFrequency (%)
16
< 0.1%

incident_city
Categorical

HIGH CARDINALITY
MISSING

Distinct429
Distinct (%)0.6%
Missing1669
Missing (%)2.4%
Memory size542.0 KiB
CHICAGO
40557 
DES PLAINES
 
908
OAK LAWN
 
772
CICERO
 
770
ARLINGTON HEIGHTS
 
682
Other values (424)
24006 

Unique

Unique124 ?
Unique (%)0.2%

Sample

1st rowCHICAGO
2nd rowJOLIET
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO

Common Values

ValueCountFrequency (%)
CHICAGO40557
58.5%
DES PLAINES908
 
1.3%
OAK LAWN772
 
1.1%
CICERO770
 
1.1%
ARLINGTON HEIGHTS682
 
1.0%
HARVEY607
 
0.9%
EVANSTON597
 
0.9%
BERWYN537
 
0.8%
NILES533
 
0.8%
SCHAUMBURG516
 
0.7%
Other values (419)21216
30.6%
(Missing)1669
 
2.4%

incident_date
Categorical

HIGH CARDINALITY
MISSING

Distinct59289
Distinct (%)87.6%
Missing1658
Missing (%)2.4%
Memory size542.0 KiB
2022-01-11T00:00:00.000
 
36
2020-04-16T00:00:00.000
 
34
2020-05-04T00:00:00.000
 
34
2020-04-29T00:00:00.000
 
33
2020-04-24T00:00:00.000
 
32
Other values (59284)
67537 

Unique

Unique55877 ?
Unique (%)82.5%

Sample

1st row2020-05-15T18:00:00.000
2nd row2021-04-06T08:00:00.000
3rd row2014-09-21T10:00:00.000
4th row2014-09-22T16:40:00.000
5th row2014-09-27T16:58:00.000

Common Values

ValueCountFrequency (%)
2022-01-11T00:00:00.00036
 
0.1%
2020-04-16T00:00:00.00034
 
< 0.1%
2020-05-04T00:00:00.00034
 
< 0.1%
2020-04-29T00:00:00.00033
 
< 0.1%
2020-04-24T00:00:00.00032
 
< 0.1%
2020-04-20T00:00:00.00032
 
< 0.1%
2020-05-05T00:00:00.00032
 
< 0.1%
2020-04-19T00:00:00.00032
 
< 0.1%
2020-04-23T00:00:00.00030
 
< 0.1%
2021-12-30T00:00:00.00029
 
< 0.1%
Other values (59279)67382
97.1%
(Missing)1658
 
2.4%

incident_street
Categorical

HIGH CARDINALITY
MISSING

Distinct65442
Distinct (%)95.7%
Missing991
Missing (%)1.4%
Memory size542.0 KiB
Unknown
 
175
UNKNOWN
 
131
unknown
 
29
UNKNOWN LOCATION
 
24
UNKNOWN INCIDENT LOCATION
 
23
Other values (65437)
67991 

Unique

Unique63899 ?
Unique (%)93.5%

Sample

1st rowO'Hare, 10000 W. O'Hare Avenue
2nd row424 S HEBBARD
3rd row499 E. North Water St.
4th row1317 PORTLAND
5th row8759 PELIKIN

Common Values

ValueCountFrequency (%)
Unknown175
 
0.3%
UNKNOWN131
 
0.2%
unknown29
 
< 0.1%
UNKNOWN LOCATION24
 
< 0.1%
UNKNOWN INCIDENT LOCATION23
 
< 0.1%
UNK13
 
< 0.1%
10000 W O'Hare Ave12
 
< 0.1%
Unknown at this time12
 
< 0.1%
1511 GREENWOOD RD11
 
< 0.1%
6300 W 95TH ST11
 
< 0.1%
Other values (65432)67932
97.9%
(Missing)991
 
1.4%

incident_zip
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1640
Missing (%)2.4%
Memory size542.0 KiB

inhalant_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.551585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.579896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

inhalant_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.746466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.773723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

ischemic_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.3%
Missing69321
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.800539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum43
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.825725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
143
 
0.1%
(Missing)69321
99.9%
ValueCountFrequency (%)
143
0.1%
ValueCountFrequency (%)
143
0.1%

ischemic_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.6%
Missing69303
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.851197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum61
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.878875image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
161
 
0.1%
(Missing)69303
99.9%
ValueCountFrequency (%)
161
0.1%
ValueCountFrequency (%)
161
0.1%

isotonitazene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.2%
Missing69318
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.904821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.929775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
146
 
0.1%
(Missing)69318
99.9%
ValueCountFrequency (%)
146
0.1%
ValueCountFrequency (%)
146
0.1%

ketamine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)5.9%
Missing69347
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:39.955262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum17
Variance0
MonotonicityIncreasing
2022-09-15T16:12:39.982612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
117
 
< 0.1%
(Missing)69347
> 99.9%
ValueCountFrequency (%)
117
< 0.1%
ValueCountFrequency (%)
117
< 0.1%

ketamine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.008705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.035467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

latino
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
False
60403 
True
8961 
ValueCountFrequency (%)
False60403
87.1%
True8961
 
12.9%
2022-09-15T16:12:40.067186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

latitude
Real number (ℝ≥0)

MISSING

Distinct48233
Distinct (%)79.8%
Missing8898
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean41.84373007
Minimum41.46973204
Maximum42.1537467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.100462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum41.46973204
5-th percentile41.59810861
Q141.75042388
median41.85860158
Q341.9409142
95-th percentile42.06082351
Maximum42.1537467
Range0.68401466
Interquartile range (IQR)0.1904903125

Descriptive statistics

Standard deviation0.1395350991
Coefficient of variation (CV)0.00333467162
Kurtosis-0.3077712992
Mean41.84373007
Median Absolute Deviation (MAD)0.098857895
Skewness-0.2350089331
Sum2530122.982
Variance0.01947004389
MonotonicityNot monotonic
2022-09-15T16:12:40.140627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.9574594757
 
0.1%
41.759204156
 
0.1%
42.0021011748
 
0.1%
41.880972646
 
0.1%
42.0579221945
 
0.1%
41.8062548643
 
0.1%
41.7356224242
 
0.1%
41.9998221142
 
0.1%
41.9749509240
 
0.1%
41.7208531240
 
0.1%
Other values (48223)60007
86.5%
(Missing)8898
 
12.8%
ValueCountFrequency (%)
41.469732041
< 0.1%
41.46992581
< 0.1%
41.470013691
< 0.1%
41.470087691
< 0.1%
41.470102481
< 0.1%
ValueCountFrequency (%)
42.15374671
< 0.1%
42.15372961
< 0.1%
42.153670611
< 0.1%
42.153461461
< 0.1%
42.153431081
< 0.1%

levorphanol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.172351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:40.198421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

location
Categorical

HIGH CARDINALITY
MISSING

Distinct48260
Distinct (%)79.8%
Missing8898
Missing (%)12.8%
Memory size542.0 KiB
{'type': 'Point', 'coordinates': [-87.80313799, 41.95745947]}
 
57
{'type': 'Point', 'coordinates': [-87.5597331, 41.7592041]}
 
56
{'type': 'Point', 'coordinates': [-87.79169379, 42.00210117]}
 
48
{'type': 'Point', 'coordinates': [-87.66823054, 41.8809726]}
 
46
{'type': 'Point', 'coordinates': [-87.83913756, 42.05792219]}
 
45
Other values (48255)
60214 

Unique

Unique43707 ?
Unique (%)72.3%

Sample

1st row{'type': 'Point', 'coordinates': [-87.61545112, 41.88947682]}
2nd row{'type': 'Point', 'coordinates': [-87.62322044, 41.50733584]}
3rd row{'type': 'Point', 'coordinates': [-87.84976596999999, 41.77362004]}
4th row{'type': 'Point', 'coordinates': [-87.6432531, 41.75286378]}
5th row{'type': 'Point', 'coordinates': [-87.63151396, 41.68470668]}

Common Values

ValueCountFrequency (%)
{'type': 'Point', 'coordinates': [-87.80313799, 41.95745947]}57
 
0.1%
{'type': 'Point', 'coordinates': [-87.5597331, 41.7592041]}56
 
0.1%
{'type': 'Point', 'coordinates': [-87.79169379, 42.00210117]}48
 
0.1%
{'type': 'Point', 'coordinates': [-87.66823054, 41.8809726]}46
 
0.1%
{'type': 'Point', 'coordinates': [-87.83913756, 42.05792219]}45
 
0.1%
{'type': 'Point', 'coordinates': [-87.68314932, 41.80625486]}43
 
0.1%
{'type': 'Point', 'coordinates': [-87.69652877, 41.73562242]}42
 
0.1%
{'type': 'Point', 'coordinates': [-88.05709437, 41.99982211]}42
 
0.1%
{'type': 'Point', 'coordinates': [-87.72654538, 41.97495092]}40
 
0.1%
{'type': 'Point', 'coordinates': [-87.77818345, 41.72085312]}40
 
0.1%
Other values (48250)60007
86.5%
(Missing)8898
 
12.8%

location_address
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing69364
Missing (%)100.0%
Memory size542.0 KiB

location_city
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing69364
Missing (%)100.0%
Memory size542.0 KiB

location_state
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing69364
Missing (%)100.0%
Memory size542.0 KiB

location_zip
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing69364
Missing (%)100.0%
Memory size542.0 KiB

longitude
Real number (ℝ)

MISSING

Distinct48219
Distinct (%)79.7%
Missing8898
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean-87.72745702
Minimum-88.26317794
Maximum-87.52483482
Zeros0
Zeros (%)0.0%
Negative60466
Negative (%)87.2%
Memory size542.0 KiB
2022-09-15T16:12:40.234699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-88.26317794
5-th percentile-87.96368793
Q1-87.77761854
median-87.70679986
Q3-87.64928023
95-th percentile-87.58031989
Maximum-87.52483482
Range0.73834312
Interquartile range (IQR)0.128338305

Descriptive statistics

Standard deviation0.1163445388
Coefficient of variation (CV)-0.001326204392
Kurtosis2.741993151
Mean-87.72745702
Median Absolute Deviation (MAD)0.062951035
Skewness-1.393949909
Sum-5304528.416
Variance0.01353605172
MonotonicityNot monotonic
2022-09-15T16:12:40.277017image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.8031379957
 
0.1%
-87.559733156
 
0.1%
-87.7916937948
 
0.1%
-87.6682305446
 
0.1%
-87.8391375645
 
0.1%
-87.6831493243
 
0.1%
-88.0570943742
 
0.1%
-87.6965287742
 
0.1%
-87.7781834540
 
0.1%
-87.7277879840
 
0.1%
Other values (48209)60007
86.5%
(Missing)8898
 
12.8%
ValueCountFrequency (%)
-88.263177941
< 0.1%
-88.263148671
< 0.1%
-88.26280711
< 0.1%
-88.262507261
< 0.1%
-88.262181351
< 0.1%
ValueCountFrequency (%)
-87.524834821
< 0.1%
-87.524901341
< 0.1%
-87.524905011
< 0.1%
-87.525321621
< 0.1%
-87.525510461
< 0.1%

lorazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.7%
Missing69218
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.309100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum146
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.337765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1146
 
0.2%
(Missing)69218
99.8%
ValueCountFrequency (%)
1146
0.2%
ValueCountFrequency (%)
1146
0.2%

lorazepam_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.364124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:40.389932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

lsd_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)20.0%
Missing69359
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.415810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.440608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15
 
< 0.1%
(Missing)69359
> 99.9%
ValueCountFrequency (%)
15
< 0.1%
ValueCountFrequency (%)
15
< 0.1%

lsd_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.466835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:40.494025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

lysergic_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)16.7%
Missing69358
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.519438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.545532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
16
 
< 0.1%
(Missing)69358
> 99.9%
ValueCountFrequency (%)
16
< 0.1%
ValueCountFrequency (%)
16
< 0.1%

lysergic_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.571506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:40.597232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

manner
Categorical

Distinct6
Distinct (%)< 0.1%
Missing493
Missing (%)0.7%
Memory size542.0 KiB
NATURAL
35399 
ACCIDENT
20990 
HOMICIDE
6752 
SUICIDE
3817 
UNDETERMINED
 
1153

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPENDING
2nd rowPENDING
3rd rowUNDETERMINED
4th rowNATURAL
5th rowNATURAL

Common Values

ValueCountFrequency (%)
NATURAL35399
51.0%
ACCIDENT20990
30.3%
HOMICIDE6752
 
9.7%
SUICIDE3817
 
5.5%
UNDETERMINED1153
 
1.7%
PENDING760
 
1.1%
(Missing)493
 
0.7%

Category Frequency Plot

2022-09-15T16:12:40.631638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

mda_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.7%
Missing69349
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.659965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum15
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.687184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
115
 
< 0.1%
(Missing)69349
> 99.9%
ValueCountFrequency (%)
115
< 0.1%
ValueCountFrequency (%)
115
< 0.1%

mdma_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.2%
Missing69279
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.713641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum85
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.740597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
185
 
0.1%
(Missing)69279
99.9%
ValueCountFrequency (%)
185
0.1%
ValueCountFrequency (%)
185
0.1%

mdma_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)33.3%
Missing69361
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.766775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.792986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13
 
< 0.1%
(Missing)69361
> 99.9%
ValueCountFrequency (%)
13
< 0.1%
ValueCountFrequency (%)
13
< 0.1%

meperidine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.818913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:40.844341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

metaxalone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)33.3%
Missing69361
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.869960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.895800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13
 
< 0.1%
(Missing)69361
> 99.9%
ValueCountFrequency (%)
13
< 0.1%
ValueCountFrequency (%)
13
< 0.1%

methadone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing68634
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.921608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum730
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.947762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1730
 
1.1%
(Missing)68634
98.9%
ValueCountFrequency (%)
1730
1.1%
ValueCountFrequency (%)
1730
1.1%

methadone_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.7%
Missing69337
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:40.973852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum27
Variance0
MonotonicityIncreasing
2022-09-15T16:12:40.999282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
127
 
< 0.1%
(Missing)69337
> 99.9%
ValueCountFrequency (%)
127
< 0.1%
ValueCountFrequency (%)
127
< 0.1%

methamphetamine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing69035
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.024572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum329
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.050852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1329
 
0.5%
(Missing)69035
99.5%
ValueCountFrequency (%)
1329
0.5%
ValueCountFrequency (%)
1329
0.5%

methamphetamine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.0%
Missing69339
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.077006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum25
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.102598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
125
 
< 0.1%
(Missing)69339
> 99.9%
ValueCountFrequency (%)
125
< 0.1%
ValueCountFrequency (%)
125
< 0.1%

methocarbamol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)14.3%
Missing69357
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.128049image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum7
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.154240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
17
 
< 0.1%
(Missing)69357
> 99.9%
ValueCountFrequency (%)
17
< 0.1%
ValueCountFrequency (%)
17
< 0.1%

methorphan_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)8.3%
Missing69352
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.180311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum12
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.206335image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
112
 
< 0.1%
(Missing)69352
> 99.9%
ValueCountFrequency (%)
112
< 0.1%
ValueCountFrequency (%)
112
< 0.1%

methorphan_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.232549image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:41.258643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

methoxyacetyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.7%
Missing69337
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.284151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum27
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.486603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
127
 
< 0.1%
(Missing)69337
> 99.9%
ValueCountFrequency (%)
127
< 0.1%
ValueCountFrequency (%)
127
< 0.1%

methylenedioxymethamphetamine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.8%
Missing69245
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.512476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum119
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.538200image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1119
 
0.2%
(Missing)69245
99.8%
ValueCountFrequency (%)
1119
0.2%
ValueCountFrequency (%)
1119
0.2%

methylenedioxymethamphetamine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)16.7%
Missing69358
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.563674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.589442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
16
 
< 0.1%
(Missing)69358
> 99.9%
ValueCountFrequency (%)
16
< 0.1%
ValueCountFrequency (%)
16
< 0.1%

methylphenidate_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)20.0%
Missing69359
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.615503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.640788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15
 
< 0.1%
(Missing)69359
> 99.9%
ValueCountFrequency (%)
15
< 0.1%
ValueCountFrequency (%)
15
< 0.1%

metonitazene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.3%
Missing69286
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.666207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum78
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.693129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
178
 
0.1%
(Missing)69286
99.9%
ValueCountFrequency (%)
178
0.1%
ValueCountFrequency (%)
178
0.1%

mitragynine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.9%
Missing69254
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.719930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum110
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.745372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1110
 
0.2%
(Missing)69254
99.8%
ValueCountFrequency (%)
1110
0.2%
ValueCountFrequency (%)
1110
0.2%

mitragynine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.771323image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.799823image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

morphine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing69172
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.826863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum192
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.853536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1192
 
0.3%
(Missing)69172
99.7%
ValueCountFrequency (%)
1192
0.3%
ValueCountFrequency (%)
1192
0.3%

morphine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)16.7%
Missing69358
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.880677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.906896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
16
 
< 0.1%
(Missing)69358
> 99.9%
ValueCountFrequency (%)
16
< 0.1%
ValueCountFrequency (%)
16
< 0.1%

nitazene_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.8%
Missing69241
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.932437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum123
Variance0
MonotonicityIncreasing
2022-09-15T16:12:41.958205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1123
 
0.2%
(Missing)69241
99.8%
ValueCountFrequency (%)
1123
0.2%
ValueCountFrequency (%)
1123
0.2%

nonfentanyl_opioid_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing62559
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:41.984160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6805
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.012564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
16805
 
9.8%
(Missing)62559
90.2%
ValueCountFrequency (%)
16805
9.8%
ValueCountFrequency (%)
16805
9.8%

norfentanyl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.5%
Missing69342
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.041568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum22
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.074175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
122
 
< 0.1%
(Missing)69342
> 99.9%
ValueCountFrequency (%)
122
< 0.1%
ValueCountFrequency (%)
122
< 0.1%

objectid
Real number (ℝ≥0)

Distinct69359
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34692.69451
Minimum1
Maximum69428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.110305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3469.15
Q117338.75
median34678.5
Q352022.25
95-th percentile65960.85
Maximum69428
Range69427
Interquartile range (IQR)34683.5

Descriptive statistics

Standard deviation20041.26593
Coefficient of variation (CV)0.5776797164
Kurtosis-1.199106967
Mean34692.69451
Median Absolute Deviation (MAD)17342
Skewness0.001986579167
Sum2406424062
Variance401652339.9
MonotonicityNot monotonic
2022-09-15T16:12:42.152129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97742
 
< 0.1%
333542
 
< 0.1%
662842
 
< 0.1%
112542
 
< 0.1%
46012
 
< 0.1%
384791
 
< 0.1%
462391
 
< 0.1%
462441
 
< 0.1%
462431
 
< 0.1%
462421
 
< 0.1%
Other values (69349)69349
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
694281
< 0.1%
694271
< 0.1%
694261
< 0.1%
694251
< 0.1%
694241
< 0.1%

opiate_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69088
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.184366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum276
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.210357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1276
 
0.4%
(Missing)69088
99.6%
ValueCountFrequency (%)
1276
0.4%
ValueCountFrequency (%)
1276
0.4%

opiate_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)5.6%
Missing69346
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.237235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum18
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.264395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
118
 
< 0.1%
(Missing)69346
> 99.9%
ValueCountFrequency (%)
118
< 0.1%
ValueCountFrequency (%)
118
< 0.1%

opiate_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing59199
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.291667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum10165
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.319382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
110165
 
14.7%
(Missing)59199
85.3%
ValueCountFrequency (%)
110165
14.7%
ValueCountFrequency (%)
110165
14.7%

opioid_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing68957
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.346529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum407
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.376177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1407
 
0.6%
(Missing)68957
99.4%
ValueCountFrequency (%)
1407
0.6%
ValueCountFrequency (%)
1407
0.6%

opioid_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)8.3%
Missing69352
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.403622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum12
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.429805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
112
 
< 0.1%
(Missing)69352
> 99.9%
ValueCountFrequency (%)
112
< 0.1%
ValueCountFrequency (%)
112
< 0.1%

opioids
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing1253
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1534700709
Minimum0
Maximum1
Zeros57658
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.455622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3604426663
Coefficient of variation (CV)2.348618621
Kurtosis1.69743428
Mean0.1534700709
Median Absolute Deviation (MAD)0
Skewness1.922858403
Sum10453
Variance0.1299189157
MonotonicityNot monotonic
2022-09-15T16:12:42.483757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
057658
83.1%
110453
 
15.1%
(Missing)1253
 
1.8%
ValueCountFrequency (%)
057658
83.1%
110453
 
15.1%
ValueCountFrequency (%)
110453
 
15.1%
057658
83.1%

oxazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.2%
Missing69348
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.511756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum16
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.538858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
116
 
< 0.1%
(Missing)69348
> 99.9%
ValueCountFrequency (%)
116
< 0.1%
ValueCountFrequency (%)
116
< 0.1%

oxycodone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing69195
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.565517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum169
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.592539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1169
 
0.2%
(Missing)69195
99.8%
ValueCountFrequency (%)
1169
0.2%
ValueCountFrequency (%)
1169
0.2%

oxycodone_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)12.5%
Missing69356
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.618891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum8
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.645430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
18
 
< 0.1%
(Missing)69356
> 99.9%
ValueCountFrequency (%)
18
< 0.1%
ValueCountFrequency (%)
18
< 0.1%

oxymorphone_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.0%
Missing69331
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.671423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum33
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.697559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
133
 
< 0.1%
(Missing)69331
> 99.9%
ValueCountFrequency (%)
133
< 0.1%
ValueCountFrequency (%)
133
< 0.1%

oxymorphone_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.723577image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:42.749703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

para-fluorobutyryl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)9.1%
Missing69353
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.775894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum11
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.803308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
111
 
< 0.1%
(Missing)69353
> 99.9%
ValueCountFrequency (%)
111
< 0.1%
ValueCountFrequency (%)
111
< 0.1%

pcp_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)9.1%
Missing69353
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.829128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum11
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.854686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
111
 
< 0.1%
(Missing)69353
> 99.9%
ValueCountFrequency (%)
111
< 0.1%
ValueCountFrequency (%)
111
< 0.1%

pcp_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)33.3%
Missing69361
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.881684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum3
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.908882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13
 
< 0.1%
(Missing)69361
> 99.9%
ValueCountFrequency (%)
13
< 0.1%
ValueCountFrequency (%)
13
< 0.1%

phencyclidine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69108
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.935362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum256
Variance0
MonotonicityIncreasing
2022-09-15T16:12:42.961226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1256
 
0.4%
(Missing)69108
99.6%
ValueCountFrequency (%)
1256
0.4%
ValueCountFrequency (%)
1256
0.4%

phencyclidine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing69340
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:42.987075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum24
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.013652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
124
 
< 0.1%
(Missing)69340
> 99.9%
ValueCountFrequency (%)
124
< 0.1%
ValueCountFrequency (%)
124
< 0.1%

phentermine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)14.3%
Missing69357
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.039736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum7
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.067097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
17
 
< 0.1%
(Missing)69357
> 99.9%
ValueCountFrequency (%)
17
< 0.1%
ValueCountFrequency (%)
17
< 0.1%

polysubstance_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)20.0%
Missing69359
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.093621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.120595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15
 
< 0.1%
(Missing)69359
> 99.9%
ValueCountFrequency (%)
15
< 0.1%
ValueCountFrequency (%)
15
< 0.1%

polysubstance_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)5.6%
Missing69346
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.148559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum18
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.175570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
118
 
< 0.1%
(Missing)69346
> 99.9%
ValueCountFrequency (%)
118
< 0.1%
ValueCountFrequency (%)
118
< 0.1%

polysubstance_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.3%
Missing69341
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.202926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum23
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.228972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
123
 
< 0.1%
(Missing)69341
> 99.9%
ValueCountFrequency (%)
123
< 0.1%
ValueCountFrequency (%)
123
< 0.1%

primary_cod
Categorical

HIGH CARDINALITY
MISSING

Distinct13692
Distinct (%)20.0%
Missing815
Missing (%)1.2%
Memory size542.0 KiB
ORGANIC CARDIOVASCULAR DISEASE
6316 
PNEUMONIA NOVEL CORONA (COVID-19) VIRAL INFECTION
 
4119
MULTIPLE GUNSHOT WOUNDS
 
3416
HYPERTENSIVE CARDIOVASCULAR DISEASE
 
2773
NOVEL CORONA (COVID-19) VIRAL INFECTION
 
2525
Other values (13687)
49400 

Unique

Unique11009 ?
Unique (%)16.1%

Sample

1st rowDROWNING
2nd rowHYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE
3rd rowDIABETIC KETOACIDOSIS
4th rowHYPERTENSIVE AND ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE
5th rowHYPERTENSIVE AND ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE

Common Values

ValueCountFrequency (%)
ORGANIC CARDIOVASCULAR DISEASE6316
 
9.1%
PNEUMONIA NOVEL CORONA (COVID-19) VIRAL INFECTION4119
 
5.9%
MULTIPLE GUNSHOT WOUNDS3416
 
4.9%
HYPERTENSIVE CARDIOVASCULAR DISEASE2773
 
4.0%
NOVEL CORONA (COVID-19) VIRAL INFECTION2525
 
3.6%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE1534
 
2.2%
ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE1226
 
1.8%
PNEUMONIA NOVEL CORONA (COVID-19) VIRUS INFECTION969
 
1.4%
GUNSHOT WOUND OF HEAD943
 
1.4%
CHRONIC ETHANOLISM824
 
1.2%
Other values (13682)43904
63.3%

primarycause
Categorical

HIGH CARDINALITY
MISSING

Distinct9901
Distinct (%)14.4%
Missing815
Missing (%)1.2%
Memory size542.0 KiB
ORGANIC CARDIOVASCULAR DISEASE
6340 
PNEUMONIA
5147 
MULTIPLE GUNSHOT WOUNDS
 
3422
HYPERTENSIVE CARDIOVASCULAR DISEASE
 
2798
NOVEL CORONA (COVID-19) VIRAL INFECTION
 
2532
Other values (9896)
48310 

Unique

Unique7772 ?
Unique (%)11.3%

Sample

1st rowDROWNING
2nd rowHYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE
3rd rowDIABETIC KETOACIDOSIS
4th rowHYPERTENSIVE AND ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE
5th rowHYPERTENSIVE AND ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE

Common Values

ValueCountFrequency (%)
ORGANIC CARDIOVASCULAR DISEASE6340
 
9.1%
PNEUMONIA5147
 
7.4%
MULTIPLE GUNSHOT WOUNDS3422
 
4.9%
HYPERTENSIVE CARDIOVASCULAR DISEASE2798
 
4.0%
NOVEL CORONA (COVID-19) VIRAL INFECTION2532
 
3.7%
MULTIPLE INJURIES2255
 
3.3%
ACUTE HYPOXIC RESPIRATORY FAILURE1841
 
2.7%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE1543
 
2.2%
ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE1235
 
1.8%
GUNSHOT WOUND OF HEAD947
 
1.4%
Other values (9891)40489
58.4%

primarycause_linea
Categorical

HIGH CARDINALITY
MISSING

Distinct2771
Distinct (%)12.3%
Missing46770
Missing (%)67.4%
Memory size542.0 KiB
NOVEL CORONA (COVID-19) VIRAL INFECTION
5918 
PNEUMONIA
2387 
FALL
1959 
NOVEL CORONA (COVID-19) VIRUS INFECTION
1873 
MOTOR VEHICLE COLLISION
 
736
Other values (2766)
9721 

Unique

Unique2165 ?
Unique (%)9.6%

Sample

1st rowRUPTURE OF ARTERIOVENOUS FISTULA
2nd rowFAILED DIALYSIS ARTERIOVENOUS FISTULA
3rd rowPEDESTRIAN STRUCK BY CAR
4th rowCHRONIC ALCOHOLISM
5th rowUNDETERMINED NATURAL CAUSES

Common Values

ValueCountFrequency (%)
NOVEL CORONA (COVID-19) VIRAL INFECTION5918
 
8.5%
PNEUMONIA2387
 
3.4%
FALL1959
 
2.8%
NOVEL CORONA (COVID-19) VIRUS INFECTION1873
 
2.7%
MOTOR VEHICLE COLLISION736
 
1.1%
HANGING438
 
0.6%
MOTOR VEHICLE STRIKING PEDESTRIAN406
 
0.6%
FALL FROM HEIGHT258
 
0.4%
FALL DOWN STAIRS234
 
0.3%
MOTOR VEHICLE STRIKING FIXED OBJECT227
 
0.3%
Other values (2761)8158
 
11.8%
(Missing)46770
67.4%

primarycause_lineb
Categorical

HIGH CARDINALITY
MISSING

Distinct399
Distinct (%)12.3%
Missing66118
Missing (%)95.3%
Memory size542.0 KiB
NOVEL CORONA (COVID-19) VIRAL INFECTION
2058 
NOVEL CORONA (COVID-19) VIRUS INFECTION
381 
HYPERTENSIVE CARDIOVASCULAR DISEASE
 
71
HOUSE FIRE
 
49
.
 
40
Other values (394)
647 

Unique

Unique324 ?
Unique (%)10.0%

Sample

1st rowCHRONIC RENAL FAILURE
2nd rowHYPERTENSIVE CARDIOVASCULAR DISEASE
3rd rowMOTOR VEHICLE STRIKING PARKED CARS
4th rowSEPTIC EMBOLI
5th row.

Common Values

ValueCountFrequency (%)
NOVEL CORONA (COVID-19) VIRAL INFECTION2058
 
3.0%
NOVEL CORONA (COVID-19) VIRUS INFECTION381
 
0.5%
HYPERTENSIVE CARDIOVASCULAR DISEASE71
 
0.1%
HOUSE FIRE49
 
0.1%
.40
 
0.1%
HYPERTENSIVE AND ATHEROSCLEROTIC CARDIOVASCULAR DISEASE37
 
0.1%
FALL24
 
< 0.1%
CHRONIC ETHANOLISM18
 
< 0.1%
CARELESS USE OF SMOKING MATERIALS17
 
< 0.1%
APARTMENT FIRE15
 
< 0.1%
Other values (389)536
 
0.8%
(Missing)66118
95.3%

primarycause_linec
Categorical

MISSING

Distinct9
Distinct (%)12.5%
Missing69292
Missing (%)99.9%
Memory size542.0 KiB
.
63 
END STAGE RENAL DISEASE
 
2
HEPATITIS C
 
1
HIGH BLOOD PRESSURE
 
1
..
 
1
Other values (4)
 
4

Unique

Unique7 ?
Unique (%)9.7%

Sample

1st rowHEPATITIS C
2nd row.
3rd row.
4th row.
5th row.

Common Values

ValueCountFrequency (%)
.63
 
0.1%
END STAGE RENAL DISEASE2
 
< 0.1%
HEPATITIS C1
 
< 0.1%
HIGH BLOOD PRESSURE1
 
< 0.1%
..1
 
< 0.1%
HYPERTENSIVE CARDIOVASCULAR DISEASE1
 
< 0.1%
HYPERTENSION, DIABETES MELLITUS, AND CORONARY ARTERY DISEASE1
 
< 0.1%
CHRONIC ETHANOLISM, DIABETES MELLITUS1
 
< 0.1%
DIABETES MELLITUS1
 
< 0.1%
(Missing)69292
99.9%

Category Frequency Plot

2022-09-15T16:12:43.269428image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

propoxyphene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.301243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:43.327617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

race
Categorical

Distinct6
Distinct (%)< 0.1%
Missing385
Missing (%)0.6%
Memory size542.0 KiB
White
37826 
Black
28338 
Asian
 
1580
Other
 
906
Unknown
 
270

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhite
2nd rowWhite
3rd rowBlack
4th rowBlack
5th rowWhite

Common Values

ValueCountFrequency (%)
White37826
54.5%
Black28338
40.9%
Asian1580
 
2.3%
Other906
 
1.3%
Unknown270
 
0.4%
Am. Indian59
 
0.1%
(Missing)385
 
0.6%

Category Frequency Plot

2022-09-15T16:12:43.364105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

residence_city
Categorical

HIGH CARDINALITY
MISSING

Distinct1211
Distinct (%)1.8%
Missing1907
Missing (%)2.7%
Memory size542.0 KiB
Chicago
37486 
Des Plaines
 
914
Oak Lawn
 
808
Cicero
 
773
Arlington Heights
 
642
Other values (1206)
26834 

Unique

Unique643 ?
Unique (%)1.0%

Sample

1st rowJoliet
2nd rowBerwyn
3rd rowBerwyn
4th rowBerwyn
5th rowBlue Island

Common Values

ValueCountFrequency (%)
Chicago37486
54.0%
Des Plaines914
 
1.3%
Oak Lawn808
 
1.2%
Cicero773
 
1.1%
Arlington Heights642
 
0.9%
Berwyn614
 
0.9%
Evanston573
 
0.8%
Orland Park534
 
0.8%
Skokie525
 
0.8%
Niles512
 
0.7%
Other values (1201)24076
34.7%
(Missing)1907
 
2.7%

residence_zip
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1803
Missing (%)2.6%
Memory size542.0 KiB

secondarycause
Categorical

HIGH CARDINALITY
MISSING

Distinct10995
Distinct (%)39.4%
Missing41490
Missing (%)59.8%
Memory size542.0 KiB
DIABETES MELLITUS
 
1698
OBESITY
 
1463
HYPERTENSION
 
1127
CHRONIC ETHANOLISM
 
736
HYPERTENSIVE CARDIOVASCULAR DISEASE
 
661
Other values (10990)
22189 

Unique

Unique9555 ?
Unique (%)34.3%

Sample

1st rowOBESITY
2nd rowCHRONIC ALCOHOLISM
3rd rowBRONCHOPNEUMONIA
4th rowCHRONIC ALCOHOLISM
5th rowHYPERTENSIVE AND ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE

Common Values

ValueCountFrequency (%)
DIABETES MELLITUS1698
 
2.4%
OBESITY1463
 
2.1%
HYPERTENSION1127
 
1.6%
CHRONIC ETHANOLISM736
 
1.1%
HYPERTENSIVE CARDIOVASCULAR DISEASE661
 
1.0%
HYPERTENSION, DIABETES MELLITUS477
 
0.7%
CHRONIC OBSTRUCTIVE PULMONARY DISEASE412
 
0.6%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE362
 
0.5%
DIABETES MELLITUS, HYPERTENSION244
 
0.4%
DIABETES MELLITUS, OBESITY227
 
0.3%
Other values (10985)20467
29.5%
(Missing)41490
59.8%

sedative_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing67199
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.393543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum2165
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.422485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12165
 
3.1%
(Missing)67199
96.9%
ValueCountFrequency (%)
12165
3.1%
ValueCountFrequency (%)
12165
3.1%

stimulant_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing64030
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.451241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5334
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.477254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15334
 
7.7%
(Missing)64030
92.3%
ValueCountFrequency (%)
15334
7.7%
ValueCountFrequency (%)
15334
7.7%

tarpentadol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.742153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:43.768993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

temazepam_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.3%
Missing69320
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.794847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum44
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.821394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
144
 
0.1%
(Missing)69320
99.9%
ValueCountFrequency (%)
144
0.1%
ValueCountFrequency (%)
144
0.1%

tizanidine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.847492image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:43.873412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

topiramate_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.4%
Missing69322
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.901883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum42
Variance0
MonotonicityIncreasing
2022-09-15T16:12:43.932636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
142
 
0.1%
(Missing)69322
99.9%
ValueCountFrequency (%)
142
0.1%
ValueCountFrequency (%)
142
0.1%

topiramate_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:43.958972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:43.985652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

toxic_tag
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing69185
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.011932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum179
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.039114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1179
 
0.3%
(Missing)69185
99.7%
ValueCountFrequency (%)
1179
0.3%
ValueCountFrequency (%)
1179
0.3%

tramadol_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing69036
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.065657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum328
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.094858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1328
 
0.5%
(Missing)69036
99.5%
ValueCountFrequency (%)
1328
0.5%
ValueCountFrequency (%)
1328
0.5%

tramadol_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.121965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.149130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

u-47700_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.3%
Missing69321
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.177444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum43
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.206081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
143
 
0.1%
(Missing)69321
99.9%
ValueCountFrequency (%)
143
0.1%
ValueCountFrequency (%)
143
0.1%

u-49900_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing69362
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.234141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.261264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12
 
< 0.1%
(Missing)69362
> 99.9%
ValueCountFrequency (%)
12
< 0.1%
ValueCountFrequency (%)
12
< 0.1%

utonitazene_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing69363
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.290144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1
Variancenan
MonotonicityStrictly increasing
2022-09-15T16:12:44.317222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11
 
< 0.1%
(Missing)69363
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
ValueCountFrequency (%)
11
< 0.1%

valeryl_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)5.6%
Missing69346
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.344214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum18
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.372367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
118
 
< 0.1%
(Missing)69346
> 99.9%
ValueCountFrequency (%)
118
< 0.1%
ValueCountFrequency (%)
118
< 0.1%

xylazine_1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing69069
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.405198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum295
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.436868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1295
 
0.4%
(Missing)69069
99.6%
ValueCountFrequency (%)
1295
0.4%
ValueCountFrequency (%)
1295
0.4%

xylazine_2
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)25.0%
Missing69360
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.465223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4
Variance0
MonotonicityIncreasing
2022-09-15T16:12:44.494246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14
 
< 0.1%
(Missing)69360
> 99.9%
ValueCountFrequency (%)
14
< 0.1%
ValueCountFrequency (%)
14
< 0.1%

composite_latitude
Real number (ℝ≥0)

MISSING

Distinct53540
Distinct (%)79.6%
Missing2086
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean41.8426318
Minimum41.40003502
Maximum42.19982043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.533274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum41.40003502
5-th percentile41.58444794
Q141.74850587
median41.8585379
Q341.94571226
95-th percentile42.06595022
Maximum42.19982043
Range0.7997854034
Interquartile range (IQR)0.1972063825

Descriptive statistics

Standard deviation0.1453237944
Coefficient of variation (CV)0.003473103582
Kurtosis-0.2495676962
Mean41.8426318
Median Absolute Deviation (MAD)0.1018212
Skewness-0.2622180756
Sum2815088.582
Variance0.02111900521
MonotonicityNot monotonic
2022-09-15T16:12:44.578547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.9574594757
 
0.1%
41.759204156
 
0.1%
42.0021011748
 
0.1%
41.880972646
 
0.1%
42.0579221945
 
0.1%
41.997574744
 
0.1%
41.8062548643
 
0.1%
41.7356224242
 
0.1%
41.9998221142
 
0.1%
42.0116148540
 
0.1%
Other values (53530)66815
96.3%
(Missing)2086
 
3.0%
ValueCountFrequency (%)
41.400035022
 
< 0.1%
41.401155013
 
< 0.1%
41.40276911
 
< 0.1%
41.4030113214
< 0.1%
41.404675271
 
< 0.1%
ValueCountFrequency (%)
42.199820431
< 0.1%
42.199799081
< 0.1%
42.199537271
< 0.1%
42.199110971
< 0.1%
42.198984991
< 0.1%

composite_longitude
Real number (ℝ)

MISSING

Distinct53527
Distinct (%)79.6%
Missing2086
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean-87.73518844
Minimum-88.29986998
Maximum-87.50000326
Zeros0
Zeros (%)0.0%
Negative67278
Negative (%)97.0%
Memory size542.0 KiB
2022-09-15T16:12:44.622421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-88.29986998
5-th percentile-88.00122235
Q1-87.78909706
median-87.70976491
Q3-87.64972425
95-th percentile-87.58012694
Maximum-87.50000326
Range0.7998667206
Interquartile range (IQR)0.1393728125

Descriptive statistics

Standard deviation0.1271133961
Coefficient of variation (CV)-0.001448830262
Kurtosis2.633542214
Mean-87.73518844
Median Absolute Deviation (MAD)0.0665833
Skewness-1.433445148
Sum-5902648.008
Variance0.01615781546
MonotonicityNot monotonic
2022-09-15T16:12:44.667246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.8031379957
 
0.1%
-87.559733156
 
0.1%
-87.7916937948
 
0.1%
-87.6682305446
 
0.1%
-87.8391375645
 
0.1%
-87.887646444
 
0.1%
-87.6831493243
 
0.1%
-88.0570943742
 
0.1%
-87.6965287742
 
0.1%
-87.692137540
 
0.1%
Other values (53517)66815
96.3%
(Missing)2086
 
3.0%
ValueCountFrequency (%)
-88.299869981
 
< 0.1%
-88.299814951
 
< 0.1%
-88.299664951
 
< 0.1%
-88.29954491
 
< 0.1%
-88.299369815
< 0.1%
ValueCountFrequency (%)
-87.500003261
< 0.1%
-87.500029951
< 0.1%
-87.500050311
< 0.1%
-87.500079971
< 0.1%
-87.500114941
< 0.1%

geometry
Categorical

HIGH CARDINALITY

Distinct53589
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size542.0 KiB
POINT EMPTY
 
2086
POINT (-87.80313799 41.95745947)
 
57
POINT (-87.5597331 41.7592041)
 
56
POINT (-87.79169379 42.00210117)
 
48
POINT (-87.66823054 41.8809726)
 
46
Other values (53584)
67071 

Unique

Unique48362 ?
Unique (%)69.7%

Sample

1st rowPOINT (-87.88024957384711 41.97857076731047)
2nd rowPOINT (-88.04523527996852 41.51683075424138)
3rd rowPOINT (-87.61545112 41.88947682)
4th rowPOINT (-87.62322044 41.50733584)
5th rowPOINT (-87.84976596999999 41.77362004)

Common Values

ValueCountFrequency (%)
POINT EMPTY2086
 
3.0%
POINT (-87.80313799 41.95745947)57
 
0.1%
POINT (-87.5597331 41.7592041)56
 
0.1%
POINT (-87.79169379 42.00210117)48
 
0.1%
POINT (-87.66823054 41.8809726)46
 
0.1%
POINT (-87.83913756 42.05792219)45
 
0.1%
POINT (-87.88764639999994 41.99757470000003)44
 
0.1%
POINT (-87.68314932 41.80625486)43
 
0.1%
POINT (-88.05709437 41.99982211)42
 
0.1%
POINT (-87.69652877 41.73562242)42
 
0.1%
Other values (53579)66855
96.4%

OBJECTID_left
Real number (ℝ≥0)

MISSING

Distinct156
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean4834.929527
Minimum2
Maximum70606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.714789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile130
Q1713
median3361
Q33361
95-th percentile10445
Maximum70606
Range70604
Interquartile range (IQR)2648

Descriptive statistics

Standard deviation11427.49423
Coefficient of variation (CV)2.363528602
Kurtosis24.08664732
Mean4834.929527
Median Absolute Deviation (MAD)0
Skewness4.98847195
Sum316687884
Variance130587624.3
MonotonicityNot monotonic
2022-09-15T16:12:44.759016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336140836
58.9%
625762
 
1.1%
132760
 
1.1%
2779671
 
1.0%
428646
 
0.9%
10430590
 
0.9%
11670579
 
0.8%
392536
 
0.8%
547532
 
0.8%
716531
 
0.8%
Other values (146)19057
27.5%
(Missing)3864
 
5.6%
ValueCountFrequency (%)
271
 
0.1%
47
 
< 0.1%
7191
0.3%
822
 
< 0.1%
13214
0.3%
ValueCountFrequency (%)
7060628
< 0.1%
7052326
< 0.1%
7050554
0.1%
7037624
< 0.1%
7036714
 
< 0.1%

AGENCY
Real number (ℝ≥0)

MISSING

Distinct128
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean7959.429115
Minimum1
Maximum10010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.802477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4070
Q14980
median10010
Q310010
95-th percentile10010
Maximum10010
Range10009
Interquartile range (IQR)5030

Descriptive statistics

Standard deviation2796.28054
Coefficient of variation (CV)0.3513167214
Kurtosis-0.3943259527
Mean7959.429115
Median Absolute Deviation (MAD)0
Skewness-0.9030697892
Sum521342607
Variance7819184.86
MonotonicityNot monotonic
2022-09-15T16:12:44.847737image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001040836
58.9%
11107
 
1.6%
150762
 
1.1%
4690760
 
1.1%
5540671
 
1.0%
4010646
 
0.9%
5570590
 
0.9%
5560579
 
0.8%
5500536
 
0.8%
4630532
 
0.8%
Other values (118)18481
26.6%
(Missing)3864
 
5.6%
ValueCountFrequency (%)
11107
1.6%
150762
1.1%
4000220
 
0.3%
4010646
0.9%
402029
 
< 0.1%
ValueCountFrequency (%)
1001040836
58.9%
9999350
 
0.5%
5700104
 
0.1%
5690265
 
0.4%
5680306
 
0.4%

AGENCY_DESC
Categorical

HIGH CARDINALITY
MISSING

Distinct155
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Memory size542.0 KiB
CITY OF CHICAGO
40836 
CITY OF CICERO
 
762
VILLAGE OF OAK LAWN
 
760
CITY OF DES PLAINES
 
671
VILLAGE OF ARLINGTON HEIGHTS
 
646
Other values (150)
21825 

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowCITY OF CHICAGO
2nd rowCITY OF CHICAGO
3rd rowCITY OF CHICAGO HEIGHTS
4th rowVILLAGE OF HODGKINS
5th rowCITY OF CHICAGO

Common Values

ValueCountFrequency (%)
CITY OF CHICAGO40836
58.9%
CITY OF CICERO762
 
1.1%
VILLAGE OF OAK LAWN760
 
1.1%
CITY OF DES PLAINES671
 
1.0%
VILLAGE OF ARLINGTON HEIGHTS646
 
0.9%
CITY OF HARVEY590
 
0.9%
CITY OF EVANSTON579
 
0.8%
CITY OF BERWYN536
 
0.8%
VILLAGE OF NILES532
 
0.8%
VILLAGE OF SKOKIE531
 
0.8%
Other values (145)19057
27.5%
(Missing)3864
 
5.6%

MUNICIPALITY
Categorical

HIGH CARDINALITY
MISSING

Distinct130
Distinct (%)0.2%
Missing4828
Missing (%)7.0%
Memory size542.0 KiB
Chicago
40836 
Cicero
 
762
Oak Lawn
 
760
Des Plaines
 
671
Arlington Heights
 
646
Other values (125)
20861 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowChicago
2nd rowChicago
3rd rowChicago Heights
4th rowHodgkins
5th rowChicago

Common Values

ValueCountFrequency (%)
Chicago40836
58.9%
Cicero762
 
1.1%
Oak Lawn760
 
1.1%
Des Plaines671
 
1.0%
Arlington Heights646
 
0.9%
Harvey590
 
0.9%
Evanston579
 
0.8%
Berwyn536
 
0.8%
Niles532
 
0.8%
Skokie531
 
0.8%
Other values (120)18093
26.1%
(Missing)4828
 
7.0%

COMMENTS
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing68845
Missing (%)99.3%
Memory size542.0 KiB
366 
need agency number
153 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowneed agency number
2nd row
3rd rowneed agency number
4th row
5th row

Common Values

ValueCountFrequency (%)
366
 
0.5%
need agency number153
 
0.2%
(Missing)68845
99.3%

Category Frequency Plot

2022-09-15T16:12:44.884363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

SDELENGTH_SHAPE_
Real number (ℝ≥0)

MISSING

Distinct153
Distinct (%)0.2%
Missing4230
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean82682.02219
Minimum586.9864025
Maximum457699.1703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:44.919475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum586.9864025
5-th percentile37320.45551
Q175232.15856
median75232.15856
Q375232.15856
95-th percentile180348.8972
Maximum457699.1703
Range457112.1839
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47672.64197
Coefficient of variation (CV)0.5765780844
Kurtosis26.08910717
Mean82682.02219
Median Absolute Deviation (MAD)0
Skewness4.112303299
Sum5385410834
Variance2272680792
MonotonicityNot monotonic
2022-09-15T16:12:44.960950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75232.1585641134
59.3%
58785.66743762
 
1.1%
93491.32965760
 
1.1%
180348.8972671
 
1.0%
209422.7815646
 
0.9%
100462.8833590
 
0.9%
77834.84925579
 
0.8%
45567.24944536
 
0.8%
137907.4907532
 
0.8%
92539.97273531
 
0.8%
Other values (143)18393
26.5%
(Missing)4230
 
6.1%
ValueCountFrequency (%)
586.986402548
 
0.1%
601.36149928
 
< 0.1%
723.690859254
 
0.1%
1031.39168271
0.1%
1042.094355170
0.2%
ValueCountFrequency (%)
457699.1703444
0.6%
243845.5803516
0.7%
227539.7961443
0.6%
209422.7815646
0.9%
191370.2046256
 
0.4%

GlobalID
Categorical

HIGH CARDINALITY
MISSING

Distinct156
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Memory size542.0 KiB
{B7D52FA7-596C-43F3-9CD7-8B92E6CEE1DE}
40836 
{3129FAE0-2C58-49CF-BA5E-6940B0E487BC}
 
762
{5081EB51-EB9A-4269-91AF-D74B921DC4B9}
 
760
{8587E105-3DE1-4637-8090-26D6E0D00C36}
 
671
{15F10119-D754-45D0-B85E-BC5FE0BB75BB}
 
646
Other values (151)
21825 

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row{B7D52FA7-596C-43F3-9CD7-8B92E6CEE1DE}
2nd row{B7D52FA7-596C-43F3-9CD7-8B92E6CEE1DE}
3rd row{56AA44F3-E9F9-40A4-A87E-D779FE11A31D}
4th row{6606665D-8363-4E94-A730-2E7FA8F81B0E}
5th row{B7D52FA7-596C-43F3-9CD7-8B92E6CEE1DE}

Common Values

ValueCountFrequency (%)
{B7D52FA7-596C-43F3-9CD7-8B92E6CEE1DE}40836
58.9%
{3129FAE0-2C58-49CF-BA5E-6940B0E487BC}762
 
1.1%
{5081EB51-EB9A-4269-91AF-D74B921DC4B9}760
 
1.1%
{8587E105-3DE1-4637-8090-26D6E0D00C36}671
 
1.0%
{15F10119-D754-45D0-B85E-BC5FE0BB75BB}646
 
0.9%
{E4277CED-6828-467E-BF1D-8C35CD593D0E}590
 
0.9%
{8E69B487-3437-483D-80C0-3A5623FAA496}579
 
0.8%
{AFF4609C-6112-4891-9C4B-93C160514E15}536
 
0.8%
{17CE7FD9-93F8-4190-ACD6-25AF4AE084A9}532
 
0.8%
{31DAEA72-231C-4E0E-8E12-775C40ACA2AF}531
 
0.8%
Other values (146)19057
27.5%
(Missing)3864
 
5.6%

created_user
Categorical

MISSING

Distinct5
Distinct (%)0.2%
Missing67032
Missing (%)96.6%
Memory size542.0 KiB
MHAMMER
786 
DARFA
590 
GIS
532 
SDE
345 
ENTGIS
79 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGIS
2nd rowGIS
3rd rowGIS
4th rowSDE
5th rowGIS

Common Values

ValueCountFrequency (%)
MHAMMER786
 
1.1%
DARFA590
 
0.9%
GIS532
 
0.8%
SDE345
 
0.5%
ENTGIS79
 
0.1%
(Missing)67032
96.6%

Category Frequency Plot

2022-09-15T16:12:44.997885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

created_date
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)0.8%
Missing67032
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.587978202 × 1012
Minimum1.504020964 × 1012
Maximum1.658327334 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.028339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.504020964 × 1012
5-th percentile1.527782863 × 1012
Q11.531146556 × 1012
median1.611697853 × 1012
Q31.636138045 × 1012
95-th percentile1.643994945 × 1012
Maximum1.658327334 × 1012
Range1.5430637 × 1011
Interquartile range (IQR)1.04991489 × 1011

Descriptive statistics

Standard deviation4.618452902 × 1010
Coefficient of variation (CV)0.02908385579
Kurtosis-1.53174098
Mean1.587978202 × 1012
Median Absolute Deviation (MAD)2.4440192 × 1010
Skewness-0.2937227382
Sum3.703165167 × 1015
Variance2.133010721 × 1021
MonotonicityNot monotonic
2022-09-15T16:12:45.063959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.636138045 × 1012444
 
0.6%
1.61532356 × 1012366
 
0.5%
1.611697853 × 1012361
 
0.5%
1.550053137 × 1012345
 
0.5%
1.528378313 × 1012200
 
0.3%
1.527782863 × 1012142
 
0.2%
1.531146305 × 1012117
 
0.2%
1.531146556 × 101273
 
0.1%
1.652906812 × 101254
 
0.1%
1.613598654 × 101247
 
0.1%
Other values (9)183
 
0.3%
(Missing)67032
96.6%
ValueCountFrequency (%)
1.504020964 × 101237
 
0.1%
1.508251649 × 101229
 
< 0.1%
1.516957241 × 101212
 
< 0.1%
1.527782863 × 1012142
0.2%
1.528378313 × 1012200
0.3%
ValueCountFrequency (%)
1.658327334 × 101228
< 0.1%
1.653597624 × 101226
< 0.1%
1.652906812 × 101254
0.1%
1.643994945 × 101224
< 0.1%
1.636408392 × 101214
 
< 0.1%

last_edited_user
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing3864
Missing (%)5.6%
Memory size542.0 KiB
ENTGIS
50095 
DARFA
5589 
GIS
 
4719
WINGENTE
 
2218
MHAMMER
 
2113

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowENTGIS
2nd rowENTGIS
3rd rowDARFA
4th rowGIS
5th rowENTGIS

Common Values

ValueCountFrequency (%)
ENTGIS50095
72.2%
DARFA5589
 
8.1%
GIS4719
 
6.8%
WINGENTE2218
 
3.2%
MHAMMER2113
 
3.0%
SDE766
 
1.1%
(Missing)3864
 
5.6%

Category Frequency Plot

2022-09-15T16:12:45.103619image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

last_edited_date
Real number (ℝ≥0)

MISSING

Distinct93
Distinct (%)0.1%
Missing3864
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1.573989184 × 1012
Minimum1.468571782 × 1012
Maximum1.658327334 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.141567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.468571782 × 1012
5-th percentile1.468571782 × 1012
Q11.578322186 × 1012
median1.578322186 × 1012
Q31.578322186 × 1012
95-th percentile1.65089446 × 1012
Maximum1.658327334 × 1012
Range1.89755552 × 1011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.181399391 × 1010
Coefficient of variation (CV)0.02656561706
Kurtosis1.681466475
Mean1.573989184 × 1012
Median Absolute Deviation (MAD)0
Skewness-0.8732624176
Sum1.030962915 × 1017
Variance1.748410087 × 1021
MonotonicityNot monotonic
2022-09-15T16:12:45.185128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.578322186 × 101240836
58.9%
1.468571782 × 10123911
 
5.6%
1.65089446 × 10122218
 
3.2%
1.468571883 × 10121837
 
2.6%
1.61403032 × 10121308
 
1.9%
1.520437392 × 1012766
 
1.1%
1.654115953 × 1012671
 
1.0%
1.53858192 × 1012590
 
0.9%
1.582541978 × 1012536
 
0.8%
1.616522871 × 1012516
 
0.7%
Other values (83)12311
 
17.7%
(Missing)3864
 
5.6%
ValueCountFrequency (%)
1.468571782 × 10123911
5.6%
1.468571883 × 10121837
2.6%
1.482495746 × 101218
 
< 0.1%
1.520437392 × 1012766
 
1.1%
1.527852069 × 101289
 
0.1%
ValueCountFrequency (%)
1.658327334 × 1012293
0.4%
1.654290361 × 1012164
 
0.2%
1.654276286 × 101224
 
< 0.1%
1.654115953 × 1012671
1.0%
1.654111167 × 101244
 
0.1%

muniCnclMmbr
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing50797
Missing (%)73.2%
Memory size542.0 KiB
SCM
4299 
NWMC
3402 
SWCM
2975 
NCCM
2552 
CCM
2416 
Other values (2)
2923 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCCM
2nd rowSCM
3rd rowNSCM
4th rowSWCM
5th rowCCM

Common Values

ValueCountFrequency (%)
SCM4299
 
6.2%
NWMC3402
 
4.9%
SWCM2975
 
4.3%
NCCM2552
 
3.7%
CCM2416
 
3.5%
NSCM2383
 
3.4%
SCM&SWCM540
 
0.8%
(Missing)50797
73.2%

Category Frequency Plot

2022-09-15T16:12:45.229967image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

cbasOptIn
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing6456
Missing (%)9.3%
Memory size542.0 KiB
NO
47330 
YES
15578 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNO
2nd rowNO
3rd rowNO
4th rowNO
5th rowNO

Common Values

ValueCountFrequency (%)
NO47330
68.2%
YES15578
 
22.5%
(Missing)6456
 
9.3%

Category Frequency Plot

2022-09-15T16:12:45.265036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

SHAPE.STArea()
Real number (ℝ≥0)

MISSING

Distinct156
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean4053640531
Minimum128821.0204
Maximum6383804206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.297899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum128821.0204
5-th percentile67288784.68
Q1215655541.6
median6383804206
Q36383804206
95-th percentile6383804206
Maximum6383804206
Range6383675385
Interquartile range (IQR)6168148664

Descriptive statistics

Standard deviation2999573778
Coefficient of variation (CV)0.7399703439
Kurtosis-1.734472426
Mean4053640531
Median Absolute Deviation (MAD)0
Skewness-0.5121053139
Sum2.655134548 × 1014
Variance8.997442849 × 1018
MonotonicityNot monotonic
2022-09-15T16:12:45.340663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
638380420640836
58.9%
163603357.3762
 
1.1%
238977618.5760
 
1.1%
403656291.8671
 
1.0%
469666697.3646
 
0.9%
170802825.2590
 
0.9%
217977852.3579
 
0.8%
108746057.8536
 
0.8%
164791090.5532
 
0.8%
280431126.6531
 
0.8%
Other values (146)19057
27.5%
(Missing)3864
 
5.6%
ValueCountFrequency (%)
128821.02041
 
< 0.1%
1328993.471
 
< 0.1%
2215601.9621
 
< 0.1%
3689020.9592
 
< 0.1%
9389449.63543
0.1%
ValueCountFrequency (%)
638380420640836
58.9%
600242227.5444
 
0.6%
591243235308
 
0.4%
540637860.2516
 
0.7%
520575976.253
 
0.1%

SHAPE.STLength()
Real number (ℝ≥0)

MISSING

Distinct156
Distinct (%)0.2%
Missing3864
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean584795.6736
Minimum7834.099365
Maximum868367.1075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.382815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7834.099365
5-th percentile45632.54929
Q1123820.743
median868367.1075
Q3868367.1075
95-th percentile868367.1075
Maximum868367.1075
Range860533.0081
Interquartile range (IQR)744546.3645

Descriptive statistics

Standard deviation368392.7448
Coefficient of variation (CV)0.6299512144
Kurtosis-1.635119363
Mean584795.6736
Median Absolute Deviation (MAD)0
Skewness-0.5600895142
Sum3.830411662 × 1010
Variance1.357132144 × 1011
MonotonicityNot monotonic
2022-09-15T16:12:45.424320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
868367.107540836
58.9%
58785.66743762
 
1.1%
93652.73598760
 
1.1%
187036.2705671
 
1.0%
210482.1707646
 
0.9%
94612.67535590
 
0.9%
82077.48048579
 
0.8%
45567.24944536
 
0.8%
137953.9349532
 
0.8%
94226.42532531
 
0.8%
Other values (146)19057
27.5%
(Missing)3864
 
5.6%
ValueCountFrequency (%)
7834.0993651
 
< 0.1%
8080.5304431
 
< 0.1%
13744.59112
 
< 0.1%
15777.688551
 
< 0.1%
16030.6585657
0.1%
ValueCountFrequency (%)
868367.107540836
58.9%
540761.282422
 
< 0.1%
469305.116324
 
< 0.1%
425183.7255444
 
0.6%
398887.235126
 
< 0.1%

pri_neigh
Categorical

HIGH CARDINALITY
MISSING

Distinct98
Distinct (%)0.2%
Missing28529
Missing (%)41.1%
Memory size542.0 KiB
Austin
 
2427
Englewood
 
1855
Garfield Park
 
1815
Humboldt Park
 
1469
South Shore
 
1416
Other values (93)
31853 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO'Hare
2nd rowStreeterville
3rd rowAuburn Gresham
4th rowWest Pullman
5th rowLower West Side

Common Values

ValueCountFrequency (%)
Austin2427
 
3.5%
Englewood1855
 
2.7%
Garfield Park1815
 
2.6%
Humboldt Park1469
 
2.1%
South Shore1416
 
2.0%
North Lawndale1171
 
1.7%
Roseland1130
 
1.6%
Auburn Gresham1040
 
1.5%
Uptown1025
 
1.5%
Little Village973
 
1.4%
Other values (88)26514
38.2%
(Missing)28529
41.1%

sec_neigh
Categorical

HIGH CARDINALITY
MISSING

Distinct78
Distinct (%)0.2%
Missing28529
Missing (%)41.1%
Memory size542.0 KiB
AUSTIN
 
2427
SOUTH SHORE, GRAND CROSSING
 
2301
ENGLEWOOD
 
1855
GARFIELD PARK
 
1815
WASHINGTON HEIGHTS,ROSELAND
 
1621
Other values (73)
30816 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOHARE
2nd rowSTREETERVILLE
3rd rowAUBURN GRESHAM
4th rowWEST PULLMAN
5th rowLOWER WEST SIDE

Common Values

ValueCountFrequency (%)
AUSTIN2427
 
3.5%
SOUTH SHORE, GRAND CROSSING2301
 
3.3%
ENGLEWOOD1855
 
2.7%
GARFIELD PARK1815
 
2.6%
WASHINGTON HEIGHTS,ROSELAND1621
 
2.3%
HUMBOLDT PARK1469
 
2.1%
MARQUETTE PARK,GAGE PARK1211
 
1.7%
NORTH LAWNDALE1171
 
1.7%
AUBURN GRESHAM1040
 
1.5%
UPTOWN1025
 
1.5%
Other values (68)24900
35.9%
(Missing)28529
41.1%

shape_area
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)0.2%
Missing28529
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean92809256.46
Minimum882405.0862
Maximum371835607.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.465110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum882405.0862
5-th percentile28800760.14
Q158507728.42
median89487422.02
Q3121959105.5
95-th percentile173600015
Maximum371835607.7
Range370953202.6
Interquartile range (IQR)63451377.05

Descriptive statistics

Standard deviation50427963.83
Coefficient of variation (CV)0.5433505855
Kurtosis6.191264489
Mean92809256.46
Median Absolute Deviation (MAD)31195902.75
Skewness1.613467213
Sum3.789865988 × 1012
Variance2.542979536 × 1015
MonotonicityNot monotonic
2022-09-15T16:12:45.506685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170037750.82427
 
3.5%
1736000151855
 
2.7%
89976069.591815
 
2.6%
125010425.61469
 
2.1%
81812716.391416
 
2.0%
89487422.021171
 
1.7%
134313706.71130
 
1.6%
105065353.61040
 
1.5%
65095642.841025
 
1.5%
127998297.8973
 
1.4%
Other values (88)26514
38.2%
(Missing)28529
41.1%
ValueCountFrequency (%)
882405.08629
< 0.1%
1650645.84211
< 0.1%
2162137.97120
< 0.1%
2775228.3799
< 0.1%
3365778.97122
< 0.1%
ValueCountFrequency (%)
371835607.7265
 
0.4%
303797059.7256
 
0.4%
1736000151855
2.7%
170037750.82427
3.5%
145965741.4112
 
0.2%

shape_len
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)0.2%
Missing28529
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean45232.37744
Minimum6099.310646
Maximum173625.9847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.547339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6099.310646
5-th percentile24359.18962
Q136568.46429
median44959.45966
Q352640.90756
95-th percentile61856.51647
Maximum173625.9847
Range167526.674
Interquartile range (IQR)16072.44327

Descriptive statistics

Standard deviation15846.21773
Coefficient of variation (CV)0.3503290922
Kurtosis26.27984733
Mean45232.37744
Median Absolute Deviation (MAD)8334.856578
Skewness3.353185169
Sum1847064133
Variance251102616.3
MonotonicityNot monotonic
2022-09-15T16:12:45.587588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55473.345912427
 
3.5%
56144.046051855
 
2.7%
44460.919221815
 
2.6%
46126.751351469
 
2.1%
44249.645181416
 
2.0%
44959.459661171
 
1.7%
56632.795431130
 
1.6%
46757.721721040
 
1.5%
46972.790181025
 
1.5%
49904.04003973
 
1.4%
Other values (88)26514
38.2%
(Missing)28529
41.1%
ValueCountFrequency (%)
6099.31064611
 
< 0.1%
6864.24715620
 
< 0.1%
7567.385589
 
< 0.1%
8503.033133154
0.2%
9154.5671159
 
< 0.1%
ValueCountFrequency (%)
173625.9847265
0.4%
80389.8718256
0.4%
80368.37438429
0.6%
74493.8216123
 
0.2%
73692.38213112
 
0.2%

OBJECTID_right
Real number (ℝ≥0)

MISSING

Distinct91
Distinct (%)37.4%
Missing69121
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1353.296296
Minimum64
Maximum1987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.629108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile489
Q11070
median1284
Q31781
95-th percentile1866.9
Maximum1987
Range1923
Interquartile range (IQR)711

Descriptive statistics

Standard deviation459.1902173
Coefficient of variation (CV)0.3393124023
Kurtosis-0.8570999689
Mean1353.296296
Median Absolute Deviation (MAD)497
Skewness-0.466075383
Sum328851
Variance210855.6556
MonotonicityNot monotonic
2022-09-15T16:12:45.672006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178169
 
0.1%
110924
 
< 0.1%
80012
 
< 0.1%
124710
 
< 0.1%
4898
 
< 0.1%
12845
 
< 0.1%
18505
 
< 0.1%
7993
 
< 0.1%
18003
 
< 0.1%
8853
 
< 0.1%
Other values (81)101
 
0.1%
(Missing)69121
99.6%
ValueCountFrequency (%)
641
< 0.1%
651
< 0.1%
2741
< 0.1%
3421
< 0.1%
4441
< 0.1%
ValueCountFrequency (%)
19871
< 0.1%
19491
< 0.1%
19471
< 0.1%
19391
< 0.1%
19301
< 0.1%

CFNAME
Categorical

HIGH CARDINALITY
MISSING

Distinct89
Distinct (%)36.6%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
Lincoln (Abraham) Park
69 
Humboldt Park
24 
Douglas Park
 
12
Washington Park
 
10
Lincolnwood Centennial Park
 
8
Other values (84)
120 

Unique

Unique62 ?
Unique (%)25.5%

Sample

1st rowNorth Shore Sculpture Park
2nd rowLincoln (Abraham) Park
3rd rowMoore Park
4th rowWashington Park
5th rowSherman Park

Common Values

ValueCountFrequency (%)
Lincoln (Abraham) Park69
 
0.1%
Humboldt Park24
 
< 0.1%
Douglas Park12
 
< 0.1%
Washington Park10
 
< 0.1%
Lincolnwood Centennial Park8
 
< 0.1%
Northerly Island Park5
 
< 0.1%
Loyola Park5
 
< 0.1%
Millennium Park3
 
< 0.1%
Wood Park3
 
< 0.1%
Centerpoint Preserve3
 
< 0.1%
Other values (79)101
 
0.1%
(Missing)69121
99.6%

CFTYPE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
Park
243 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPark
2nd rowPark
3rd rowPark
4th rowPark
5th rowPark

Common Values

ValueCountFrequency (%)
Park243
 
0.4%
(Missing)69121
99.6%

Category Frequency Plot

2022-09-15T16:12:45.707434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CFSUBTYPE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
Park
243 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPark
2nd rowPark
3rd rowPark
4th rowPark
5th rowPark

Common Values

ValueCountFrequency (%)
Park243
 
0.4%
(Missing)69121
99.6%

Category Frequency Plot

2022-09-15T16:12:45.732578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct74
Distinct (%)30.5%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
200 W Fullerton Pkwy
69 
Unknown
25 
1400 N Humboldt Dr
24 
1613 S Sacramento Dr
12 
5531 S Dr Martin Luther King Jr Dr
 
10
Other values (69)
103 

Unique

Unique50 ?
Unique (%)20.6%

Sample

1st rowUnknown
2nd row200 W Fullerton Pkwy
3rd row5085 W Adams St
4th row5531 S Dr Martin Luther King Jr Dr
5th row1301 W 52nd St

Common Values

ValueCountFrequency (%)
200 W Fullerton Pkwy69
 
0.1%
Unknown25
 
< 0.1%
1400 N Humboldt Dr24
 
< 0.1%
1613 S Sacramento Dr12
 
< 0.1%
5531 S Dr Martin Luther King Jr Dr10
 
< 0.1%
6700 S Kedzie Ave6
 
< 0.1%
1400 S Lynn White Dr5
 
< 0.1%
1230 W Greenleaf Ave5
 
< 0.1%
531 N Washtenaw Ave3
 
< 0.1%
1409 S Kolin Ave3
 
< 0.1%
Other values (64)81
 
0.1%
(Missing)69121
99.6%

GNISCODE
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)34.4%
Missing69152
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1078566.906
Minimum403466
Maximum2042449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.764595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum403466
5-th percentile407341
Q1410920.5
median424350
Q31829853
95-th percentile1836881
Maximum2042449
Range1638983
Interquartile range (IQR)1418932.5

Descriptive statistics

Standard deviation712969.9117
Coefficient of variation (CV)0.6610344782
Kurtosis-1.984681703
Mean1078566.906
Median Absolute Deviation (MAD)18580
Skewness0.1422373858
Sum228656184
Variance5.08326095 × 1011
MonotonicityNot monotonic
2022-09-15T16:12:45.806900image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182985369
 
0.1%
41067924
 
< 0.1%
40734112
 
< 0.1%
42056710
 
< 0.1%
4236015
 
< 0.1%
4127325
 
< 0.1%
4163553
 
< 0.1%
20424493
 
< 0.1%
4086733
 
< 0.1%
4130283
 
< 0.1%
Other values (63)75
 
0.1%
(Missing)69152
99.7%
ValueCountFrequency (%)
4034663
< 0.1%
4037201
 
< 0.1%
4037291
 
< 0.1%
4041821
 
< 0.1%
4053761
 
< 0.1%
ValueCountFrequency (%)
20424493
< 0.1%
20356591
 
< 0.1%
20267891
 
< 0.1%
20267761
 
< 0.1%
18668821
 
< 0.1%

COMMENT
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing69356
Missing (%)> 99.9%
Memory size542.0 KiB
Additional GNIS code of 1831526.
Well Park
Google states Harrington Park
Nature Center is inside of Park boundary.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st rowWell Park
2nd rowGoogle states Harrington Park
3rd rowAdditional GNIS code of 1831526.
4th rowAdditional GNIS code of 1831526.
5th rowAdditional GNIS code of 1831526.

Common Values

ValueCountFrequency (%)
Additional GNIS code of 1831526.5
 
< 0.1%
Well Park1
 
< 0.1%
Google states Harrington Park1
 
< 0.1%
Nature Center is inside of Park boundary.1
 
< 0.1%
(Missing)69356
> 99.9%

Category Frequency Plot

2022-09-15T16:12:45.847516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

SOURCE
Categorical

MISSING

Distinct8
Distinct (%)3.3%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
CGI
121 
CGIL
77 
GI
22 
CG
 
11
GIL
 
8
Other values (3)
 
4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st rowCGI
2nd rowCGI
3rd rowCGIL
4th rowCGIL
5th rowCGIL

Common Values

ValueCountFrequency (%)
CGI121
 
0.2%
CGIL77
 
0.1%
GI22
 
< 0.1%
CG11
 
< 0.1%
GIL8
 
< 0.1%
CGL2
 
< 0.1%
CI1
 
< 0.1%
G1
 
< 0.1%
(Missing)69121
99.6%

Category Frequency Plot

2022-09-15T16:12:45.884747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Jurisdiction
Categorical

MISSING

Distinct34
Distinct (%)15.3%
Missing69142
Missing (%)99.7%
Memory size542.0 KiB
CHICAGO PARK DISTRICT
151 
METRO WATER RECLM DIST
 
13
IL DEPT-MILITARY AFFRS
 
10
CHICAGO HOUSING AUTH
 
4
CITY OF CHICAGO
 
3
Other values (29)
41 

Unique

Unique21 ?
Unique (%)9.5%

Sample

1st rowMETRO WATER RECLM DIST
2nd rowCHICAGO PARK DISTRICT
3rd rowCHICAGO PARK DISTRICT
4th rowIL DEPT-MILITARY AFFRS
5th rowCHICAGO PARK DISTRICT

Common Values

ValueCountFrequency (%)
CHICAGO PARK DISTRICT151
 
0.2%
METRO WATER RECLM DIST13
 
< 0.1%
IL DEPT-MILITARY AFFRS10
 
< 0.1%
CHICAGO HOUSING AUTH4
 
< 0.1%
CITY OF CHICAGO3
 
< 0.1%
NORTHLAKE CITY OF3
 
< 0.1%
CHICAGO PARK DISTRICT 3
 
< 0.1%
BURBANK PARK DIST3
 
< 0.1%
STATE OF ILLINOIS3
 
< 0.1%
WILMETTE PARK DIST2
 
< 0.1%
Other values (24)27
 
< 0.1%
(Missing)69142
99.7%

Community
Categorical

MISSING

Distinct26
Distinct (%)10.7%
Missing69121
Missing (%)99.6%
Memory size542.0 KiB
Chicago
197 
Lincolnwood
 
8
Northlake
 
4
Evanston
 
3
Wilmette
 
2
Other values (21)
29 

Unique

Unique13 ?
Unique (%)5.3%

Sample

1st rowSkokie
2nd rowChicago
3rd rowChicago
4th rowChicago
5th rowChicago

Common Values

ValueCountFrequency (%)
Chicago197
 
0.3%
Lincolnwood8
 
< 0.1%
Northlake4
 
< 0.1%
Evanston3
 
< 0.1%
Wilmette2
 
< 0.1%
Riverside2
 
< 0.1%
Homewood2
 
< 0.1%
Schaumburg2
 
< 0.1%
Skokie2
 
< 0.1%
Cicero2
 
< 0.1%
Other values (16)19
 
< 0.1%
(Missing)69121
99.6%

STATEFP_left
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean17
Minimum17
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.913344image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile17
Q117
median17
Q317
95-th percentile17
Maximum17
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean17
Median Absolute Deviation (MAD)0
Skewness0
Sum1140649
Variance0
MonotonicityIncreasing
2022-09-15T16:12:45.942331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1767097
96.7%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
1767097
96.7%
ValueCountFrequency (%)
1767097
96.7%

COUNTYFP_left
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean32.94080212
Minimum31
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:45.970016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile31
Q131
median31
Q331
95-th percentile31
Maximum197
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.02904247
Coefficient of variation (CV)0.4866014619
Kurtosis90.7224751
Mean32.94080212
Median Absolute Deviation (MAD)0
Skewness9.405160581
Sum2210229
Variance256.9302025
MonotonicityNot monotonic
2022-09-15T16:12:46.311960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3165446
94.4%
43630
 
0.9%
197563
 
0.8%
97269
 
0.4%
89124
 
0.2%
11131
 
< 0.1%
9323
 
< 0.1%
6311
 
< 0.1%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
3165446
94.4%
43630
 
0.9%
6311
 
< 0.1%
89124
 
0.2%
9323
 
< 0.1%
ValueCountFrequency (%)
197563
0.8%
11131
 
< 0.1%
97269
0.4%
9323
 
< 0.1%
89124
 
0.2%

COUSUBFP
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean27810.35522
Minimum250
Maximum83947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.350454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile7939
Q114000
median14000
Q345447
95-th percentile76212
Maximum83947
Range83697
Interquartile range (IQR)31447

Descriptive statistics

Standard deviation23052.12916
Coefficient of variation (CV)0.8289045207
Kurtosis-0.08944880248
Mean27810.35522
Median Absolute Deviation (MAD)0
Skewness1.200254779
Sum1865991404
Variance531400658.9
MonotonicityNot monotonic
2022-09-15T16:12:46.391073image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1400040785
58.8%
751982179
 
3.1%
835311914
 
2.8%
621331801
 
2.6%
461621463
 
2.1%
79391401
 
2.0%
454471241
 
1.8%
811001171
 
1.7%
530131096
 
1.6%
431201055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
250187
0.3%
69831
 
< 0.1%
302529
 
< 0.1%
309011
 
< 0.1%
383195
0.1%
ValueCountFrequency (%)
8394747
 
0.1%
835311914
2.8%
8241311
 
< 0.1%
811001171
1.7%
8103515
 
< 0.1%

COUSUBNS
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean447172.5682
Minimum422238
Maximum2394709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.431589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum422238
5-th percentile428682
Q1428803
median428803
Q3429252
95-th percentile429927
Maximum2394709
Range1972471
Interquartile range (IQR)449

Descriptive statistics

Standard deviation187227.8779
Coefficient of variation (CV)0.4186926731
Kurtosis101.2958089
Mean447172.5682
Median Absolute Deviation (MAD)0
Skewness10.14067205
Sum3.000393781 × 1010
Variance3.505427827 × 1010
MonotonicityNot monotonic
2022-09-15T16:12:46.474358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42880340785
58.8%
4222382179
 
3.1%
4299581914
 
2.8%
4296081801
 
2.6%
4293101463
 
2.1%
4287061401
 
2.0%
4292981241
 
1.8%
4299271171
 
1.7%
4294471096
 
1.6%
4292521055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
4222382179
3.1%
428571187
 
0.3%
42857831
 
< 0.1%
42862129
 
< 0.1%
42862311
 
< 0.1%
ValueCountFrequency (%)
2394709580
 
0.8%
184816166
 
0.1%
42997047
 
0.1%
4299581914
2.8%
42994511
 
< 0.1%

AFFGEOID
Categorical

HIGH CARDINALITY
MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Memory size542.0 KiB
0600000US1703114000
40785 
0600000US1703175198
 
2179
0600000US1703183531
 
1914
0600000US1703162133
 
1801
0600000US1703146162
 
1463
Other values (66)
18955 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0600000US1703114000
2nd row0600000US1719738583
3rd row0600000US1703114000
4th row0600000US1703106561
5th row0600000US1703145447

Common Values

ValueCountFrequency (%)
0600000US170311400040785
58.8%
0600000US17031751982179
 
3.1%
0600000US17031835311914
 
2.8%
0600000US17031621331801
 
2.6%
0600000US17031461621463
 
2.1%
0600000US17031079391401
 
2.0%
0600000US17031454471241
 
1.8%
0600000US17031811001171
 
1.7%
0600000US17031530131096
 
1.6%
0600000US17031431201055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%

GEOID_left
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean1703321891
Minimum1703103831
Maximum1719781035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.519038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1703103831
5-th percentile1703110474
Q11703114000
median1703114000
Q31703146162
95-th percentile1703183531
Maximum1719781035
Range16677204
Interquartile range (IQR)32162

Descriptive statistics

Standard deviation1604368.44
Coefficient of variation (CV)0.0009419056076
Kurtosis90.62118898
Mean1703321891
Median Absolute Deviation (MAD)0
Skewness9.398977781
Sum1.142877889 × 1014
Variance2.573998092 × 1012
MonotonicityNot monotonic
2022-09-15T16:12:46.561745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170311400040785
58.8%
17031751982179
 
3.1%
17031835311914
 
2.8%
17031621331801
 
2.6%
17031461621463
 
2.1%
17031079391401
 
2.0%
17031454471241
 
1.8%
17031811001171
 
1.7%
17031530131096
 
1.6%
17031431201055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
170310383195
 
0.1%
1703105586536
 
0.8%
17031065611025
1.5%
17031079391401
2.0%
1703110474332
 
0.5%
ValueCountFrequency (%)
171978103515
 
< 0.1%
171977621217
 
< 0.1%
171976030020
 
< 0.1%
171975259726
 
< 0.1%
1719749958113
0.2%

NAME_left
Categorical

HIGH CARDINALITY
MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Memory size542.0 KiB
Chicago
40785 
Thornton
 
2179
Worth
 
1914
Proviso
 
1801
Maine
 
1463
Other values (66)
18955 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChicago
2nd rowJoliet
3rd rowChicago
4th rowBloom
5th rowLyons

Common Values

ValueCountFrequency (%)
Chicago40785
58.8%
Thornton2179
 
3.1%
Worth1914
 
2.8%
Proviso1801
 
2.6%
Maine1463
 
2.1%
Bremen1401
 
2.0%
Lyons1241
 
1.8%
Wheeling1171
 
1.7%
Niles1096
 
1.6%
Leyden1055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%

LSAD
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean32.28658509
Minimum25
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.594706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile25
Q125
median25
Q344
95-th percentile44
Maximum44
Range19
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.238618215
Coefficient of variation (CV)0.2861441738
Kurtosis-1.770439229
Mean32.28658509
Median Absolute Deviation (MAD)0
Skewness0.4791800752
Sum2166333
Variance85.35206652
MonotonicityNot monotonic
2022-09-15T16:12:46.626901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2541365
59.6%
4425732
37.1%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
2541365
59.6%
4425732
37.1%
ValueCountFrequency (%)
4425732
37.1%
2541365
59.6%

ALAND_left
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean384535590.2
Minimum6422499
Maximum582989656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.666095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6422499
5-th percentile32323978
Q192388145
median582989656
Q3582989656
95-th percentile582989656
Maximum582989656
Range576567157
Interquartile range (IQR)490601511

Descriptive statistics

Standard deviation247831741.1
Coefficient of variation (CV)0.6444962376
Kurtosis-1.760136546
Mean384535590.2
Median Absolute Deviation (MAD)0
Skewness-0.4609511287
Sum2.58011845 × 1013
Variance6.142057191 × 1016
MonotonicityNot monotonic
2022-09-15T16:12:46.708612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58298965640785
58.8%
1214635512179
 
3.1%
823975041914
 
2.8%
769727541801
 
2.6%
671140191463
 
2.1%
977566891401
 
2.0%
941606081241
 
1.8%
929974141171
 
1.7%
550580181096
 
1.6%
516040801055
 
1.5%
Other values (61)12991
 
18.7%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
642249954
 
0.1%
9499981343
0.5%
10112484536
0.8%
10427485150
 
0.2%
11423514332
0.5%
ValueCountFrequency (%)
58298965640785
58.8%
12846871492
 
0.1%
1214635512179
 
3.1%
12030851331
 
< 0.1%
1201775321025
 
1.5%

AWATER_left
Real number (ℝ≥0)

MISSING
ZEROS

Distinct63
Distinct (%)0.1%
Missing2267
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean10986903.52
Minimum0
Maximum17565657
Zeros4264
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.749731image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1875699
median17565657
Q317565657
95-th percentile17565657
Maximum17565657
Range17565657
Interquartile range (IQR)16689958

Descriptive statistics

Standard deviation8210021.506
Coefficient of variation (CV)0.7472552652
Kurtosis-1.777679632
Mean10986903.52
Median Absolute Deviation (MAD)0
Skewness-0.4550939138
Sum7.371882657 × 1011
Variance6.740445312 × 1013
MonotonicityNot monotonic
2022-09-15T16:12:46.792829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1756565740785
58.8%
04264
 
6.1%
12552642179
 
3.1%
8756991914
 
2.8%
5621801
 
2.6%
6405451463
 
2.1%
2951431401
 
2.0%
14616221241
 
1.8%
3177431171
 
1.7%
6287931025
 
1.5%
Other values (53)9853
 
14.2%
(Missing)2267
 
3.3%
ValueCountFrequency (%)
04264
6.1%
5621801
2.6%
479454
 
0.1%
155497
 
< 0.1%
43529150
 
0.2%
ValueCountFrequency (%)
1756565740785
58.8%
58402415
 
< 0.1%
529784020
 
< 0.1%
4274345768
 
1.1%
413151831
 
< 0.1%

STATEFP_right
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean17
Minimum17
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.825352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile17
Q117
median17
Q317
95-th percentile17
Maximum17
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean17
Median Absolute Deviation (MAD)0
Skewness0
Sum1141499
Variance0
MonotonicityIncreasing
2022-09-15T16:12:46.852015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1767147
96.8%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
1767147
96.8%
ValueCountFrequency (%)
1767147
96.8%

COUNTYFP_right
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean32.93885058
Minimum31
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.879255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile31
Q131
median31
Q331
95-th percentile31
Maximum197
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.01446236
Coefficient of variation (CV)0.4861876502
Kurtosis90.84236906
Mean32.93885058
Median Absolute Deviation (MAD)0
Skewness9.410107758
Sum2211745
Variance256.4630048
MonotonicityNot monotonic
2022-09-15T16:12:46.908436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3165495
94.4%
43630
 
0.9%
197562
 
0.8%
97271
 
0.4%
89124
 
0.2%
11131
 
< 0.1%
9323
 
< 0.1%
6311
 
< 0.1%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
3165495
94.4%
43630
 
0.9%
6311
 
< 0.1%
89124
 
0.2%
9323
 
< 0.1%
ValueCountFrequency (%)
197562
0.8%
11131
 
< 0.1%
97271
0.4%
9323
 
< 0.1%
89124
 
0.2%

TRACTCE
Real number (ℝ≥0)

MISSING

Distinct1697
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean586552.89
Minimum102
Maximum980100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:46.946457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile40402
Q1292500
median750500
Q3822500
95-th percentile841207.7
Maximum980100
Range979998
Interquartile range (IQR)530000

Descriptive statistics

Standard deviation284910.547
Coefficient of variation (CV)0.4857371804
Kurtosis-1.043977457
Mean586552.89
Median Absolute Deviation (MAD)88300
Skewness-0.7239489189
Sum3.93852669 × 1010
Variance8.117401976 × 1010
MonotonicityNot monotonic
2022-09-15T16:12:46.988925image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431400310
 
0.4%
231500283
 
0.4%
839100258
 
0.4%
231200219
 
0.3%
808100208
 
0.3%
31200189
 
0.3%
10300182
 
0.3%
252202181
 
0.3%
252000179
 
0.3%
491000174
 
0.3%
Other values (1687)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
10210
 
< 0.1%
1031
 
< 0.1%
1010082
0.1%
1020161
0.1%
1020290
0.1%
ValueCountFrequency (%)
98010031
 
< 0.1%
980000124
0.2%
8907032
 
< 0.1%
8907027
 
< 0.1%
8907013
 
< 0.1%

GEOID_right
Real number (ℝ≥0)

MISSING

Distinct1710
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.70335254 × 1010
Minimum1.70310101 × 1010
Maximum1.71979801 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:47.030119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.70310101 × 1010
5-th percentile1.70310404 × 1010
Q11.70312925 × 1010
median1.70317505 × 1010
Q31.70318225 × 1010
95-th percentile1.70318419 × 1010
Maximum1.71979801 × 1010
Range166970000
Interquartile range (IQR)530000

Descriptive statistics

Standard deviation16051847.05
Coefficient of variation (CV)0.0009423678701
Kurtosis90.66420828
Mean1.70335254 × 1010
Median Absolute Deviation (MAD)88300
Skewness9.398562892
Sum1.14375013 × 1015
Variance2.576617939 × 1014
MonotonicityNot monotonic
2022-09-15T16:12:47.072357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.70314314 × 1010310
 
0.4%
1.70312315 × 1010283
 
0.4%
1.70318391 × 1010258
 
0.4%
1.70312312 × 1010219
 
0.3%
1.70318081 × 1010208
 
0.3%
1.70310312 × 1010189
 
0.3%
1.70310103 × 1010182
 
0.3%
1.70312522 × 1010181
 
0.3%
1.7031252 × 1010179
 
0.3%
1.7031491 × 1010174
 
0.3%
Other values (1700)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
1.70310101 × 101082
0.1%
1.70310102 × 101061
 
0.1%
1.70310102 × 101090
0.1%
1.70310103 × 1010182
0.3%
1.70310104 × 101048
 
0.1%
ValueCountFrequency (%)
1.71979801 × 10109
 
< 0.1%
1.71978841 × 10103
 
< 0.1%
1.719788381 × 101033
< 0.1%
1.719788381 × 101013
 
< 0.1%
1.719788381 × 101016
< 0.1%

NAME_right
Real number (ℝ≥0)

MISSING

Distinct1697
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean5865.5289
Minimum1.02
Maximum9801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:47.114127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.02
5-th percentile404.02
Q12925
median7505
Q38225
95-th percentile8412.077
Maximum9801
Range9799.98
Interquartile range (IQR)5300

Descriptive statistics

Standard deviation2849.10547
Coefficient of variation (CV)0.4857371804
Kurtosis-1.043977457
Mean5865.5289
Median Absolute Deviation (MAD)883
Skewness-0.7239489189
Sum393852669
Variance8117401.976
MonotonicityNot monotonic
2022-09-15T16:12:47.156811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4314310
 
0.4%
2315283
 
0.4%
8391258
 
0.4%
2312219
 
0.3%
8081208
 
0.3%
312189
 
0.3%
103182
 
0.3%
2522.02181
 
0.3%
2520179
 
0.3%
4910174
 
0.3%
Other values (1687)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
1.0210
 
< 0.1%
1.031
 
< 0.1%
10182
0.1%
102.0161
0.1%
102.0290
0.1%
ValueCountFrequency (%)
980131
 
< 0.1%
9800124
0.2%
8907.032
 
< 0.1%
8907.027
 
< 0.1%
8907.013
 
< 0.1%

NAMELSAD
Categorical

HIGH CARDINALITY
MISSING

Distinct1697
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Memory size542.0 KiB
Census Tract 4314
 
310
Census Tract 2315
 
283
Census Tract 8391
 
258
Census Tract 2312
 
219
Census Tract 8081
 
208
Other values (1692)
65869 

Unique

Unique108 ?
Unique (%)0.2%

Sample

1st rowCensus Tract 9800
2nd rowCensus Tract 8823
3rd rowCensus Tract 814.03
4th rowCensus Tract 8290
5th rowCensus Tract 8202.02

Common Values

ValueCountFrequency (%)
Census Tract 4314310
 
0.4%
Census Tract 2315283
 
0.4%
Census Tract 8391258
 
0.4%
Census Tract 2312219
 
0.3%
Census Tract 8081208
 
0.3%
Census Tract 312189
 
0.3%
Census Tract 103182
 
0.3%
Census Tract 2522.02181
 
0.3%
Census Tract 2520179
 
0.3%
Census Tract 4910174
 
0.3%
Other values (1687)64964
93.7%
(Missing)2217
 
3.2%

MTFCC
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing2217
Missing (%)3.2%
Memory size542.0 KiB
G5020
67147 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowG5020
2nd rowG5020
3rd rowG5020
4th rowG5020
5th rowG5020

Common Values

ValueCountFrequency (%)
G502067147
96.8%
(Missing)2217
 
3.2%

Category Frequency Plot

2022-09-15T16:12:47.193260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

FUNCSTAT
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing2217
Missing (%)3.2%
Memory size542.0 KiB
S
67147 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S67147
96.8%
(Missing)2217
 
3.2%

Category Frequency Plot

2022-09-15T16:12:47.222382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

ALAND_right
Real number (ℝ≥0)

MISSING

Distinct1710
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2223361.629
Minimum22158
Maximum277816097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:47.254432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum22158
5-th percentile266794
Q1577060
median1029660
Q32445029
95-th percentile7007313
Maximum277816097
Range277793939
Interquartile range (IQR)1867969

Descriptive statistics

Standard deviation4509979.908
Coefficient of variation (CV)2.028450904
Kurtosis509.0845319
Mean2223361.629
Median Absolute Deviation (MAD)647218
Skewness14.23603719
Sum1.492920633 × 1011
Variance2.033991877 × 1013
MonotonicityNot monotonic
2022-09-15T16:12:47.294860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1084987310
 
0.4%
999706283
 
0.4%
1101771258
 
0.4%
656674219
 
0.3%
4896434208
 
0.3%
326475189
 
0.3%
472522182
 
0.3%
637446181
 
0.3%
624594179
 
0.3%
1277974174
 
0.3%
Other values (1700)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
2215827
< 0.1%
648275
 
< 0.1%
690949
 
< 0.1%
6987828
< 0.1%
8276912
< 0.1%
ValueCountFrequency (%)
2778160972
 
< 0.1%
949679386
< 0.1%
864373867
< 0.1%
799745927
< 0.1%
650068312
 
< 0.1%

AWATER_right
Real number (ℝ≥0)

MISSING
ZEROS

Distinct541
Distinct (%)0.8%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean59452.7393
Minimum0
Maximum5414806
Zeros52387
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:47.334564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile246111
Maximum5414806
Range5414806
Interquartile range (IQR)0

Descriptive statistics

Standard deviation282895.3369
Coefficient of variation (CV)4.758323001
Kurtosis101.4471943
Mean59452.7393
Median Absolute Deviation (MAD)0
Skewness9.037643005
Sum3992073086
Variance8.002977164 × 1010
MonotonicityNot monotonic
2022-09-15T16:12:47.376853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052387
75.5%
1126154310
 
0.4%
84111258
 
0.4%
143193139
 
0.2%
14139135
 
0.2%
466785126
 
0.2%
92402124
 
0.2%
143185123
 
0.2%
161566120
 
0.2%
7945119
 
0.2%
Other values (531)13306
 
19.2%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
052387
75.5%
421
 
< 0.1%
2622
 
< 0.1%
32476
 
0.1%
5333
 
< 0.1%
ValueCountFrequency (%)
54148062
 
< 0.1%
38561944
 
< 0.1%
380298384
0.1%
375179085
0.1%
34983389
 
< 0.1%

INTPTLAT
Real number (ℝ≥0)

MISSING

Distinct1710
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean41.84321878
Minimum41.3977129
Maximum42.2082668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 KiB
2022-09-15T16:12:47.417903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum41.3977129
5-th percentile41.5858756
Q141.7478345
median41.858776
Q341.9466985
95-th percentile42.0655221
Maximum42.2082668
Range0.8105539
Interquartile range (IQR)0.198864

Descriptive statistics

Standard deviation0.1449544544
Coefficient of variation (CV)0.003464228102
Kurtosis-0.2453224781
Mean41.84321878
Median Absolute Deviation (MAD)0.1015047
Skewness-0.2594607062
Sum2809646.611
Variance0.02101179385
MonotonicityNot monotonic
2022-09-15T16:12:47.461355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.7572084310
 
0.4%
41.8917357283
 
0.4%
41.8809857258
 
0.4%
41.8990614219
 
0.3%
42.0113034208
 
0.3%
41.9727092189
 
0.3%
42.0159431182
 
0.3%
41.8767584181
 
0.3%
41.8836759179
 
0.3%
41.6997625174
 
0.3%
Other values (1700)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
41.39771291
 
< 0.1%
41.40432712
 
< 0.1%
41.40532481
 
< 0.1%
41.413359516
< 0.1%
41.41347372
 
< 0.1%
ValueCountFrequency (%)
42.20826681
 
< 0.1%
42.2068110
< 0.1%
42.20366631
 
< 0.1%
42.20323352
 
< 0.1%
42.20182461
 
< 0.1%

INTPTLON
Real number (ℝ)

MISSING

Distinct1710
Distinct (%)2.5%
Missing2217
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-87.73575765
Minimum-88.4147251
Maximum-87.5294325
Zeros0
Zeros (%)0.0%
Negative67147
Negative (%)96.8%
Memory size542.0 KiB
2022-09-15T16:12:47.503601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-88.4147251
5-th percentile-88.00622173
Q1-87.7881169
median-87.7117002
Q3-87.6504857
95-th percentile-87.5804887
Maximum-87.5294325
Range0.8852926
Interquartile range (IQR)0.1376312

Descriptive statistics

Standard deviation0.1274774134
Coefficient of variation (CV)-0.001452969881
Kurtosis2.666894516
Mean-87.73575765
Median Absolute Deviation (MAD)0.06659
Skewness-1.443134159
Sum-5891192.919
Variance0.01625049092
MonotonicityNot monotonic
2022-09-15T16:12:47.543726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.546555310
 
0.4%
-87.7186525283
 
0.4%
-87.6330703258
 
0.4%
-87.7213153219
 
0.3%
-87.7900018208
 
0.3%
-87.657341189
 
0.3%
-87.6665393182
 
0.3%
-87.7445832181
 
0.3%
-87.7698798179
 
0.3%
-87.6280536174
 
0.3%
Other values (1700)64964
93.7%
(Missing)2217
 
3.2%
ValueCountFrequency (%)
-88.41472512
 
< 0.1%
-88.34630311
 
< 0.1%
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< 0.1%
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< 0.1%
-88.316641610
< 0.1%
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-87.529432534
< 0.1%
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< 0.1%
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0.1%
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0.1%
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< 0.1%